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87owo 133e3208ec Add files via upload 2026-05-14 20:02:53 +08:00
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87owo e1b61f2675 Update README.md 2026-05-09 22:53:01 +08:00
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87owo 70e13b8414 Delete Engine/Properties/train_server_lfp.py 2026-05-07 14:13:19 +08:00
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87owo 978a336358 Update README.md 2026-05-03 03:27:57 +08:00
87owo 6a0fd4e427 Update README.md 2026-05-03 03:23:58 +08:00
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87owo 4e96ec49e7 Update README.md 2026-04-29 21:04:53 +08:00
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26 changed files with 5953 additions and 5805 deletions

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FROM python:3.10-slim
RUN apt-get update && apt-get install -y \
build-essential \
libfuzzy-dev \
git \
&& rm -rf /var/lib/apt/lists/*
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD ["python", "-u", "predict_onnx_linux.py"]
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import os, time, uuid, logging, requests, hashlib
from pathlib import Path
from typing import Optional, List, Dict, Any
####################################################################################################
class PYAS_Client:
def __init__(self, api_key: str, host: str, timeout: int = 30):
self.base_url = host.rstrip('/')
self.timeout = timeout
self.logger = logging.getLogger("PYAS_API")
self.session = requests.Session()
self.session.headers.update({"X-API-Key": api_key, "User-Agent": "PYAS-API/1.1"})
self.logger.info(f"Initialized PYAS API Client targeting {self.base_url}")
def _request(self, method: str, endpoint: str, **kwargs) -> Optional[requests.Response]:
self.logger.debug(f"Request: {method} {endpoint}")
try:
r = self.session.request(method, f"{self.base_url}{endpoint}", timeout=self.timeout, **kwargs)
if r.status_code == 200:
return r
error_map = {401: "API Key invalid", 402: "Insufficient points", 404: "Not found", 500: "Server Error"}
self.logger.error(f"[{endpoint}] Failed: {error_map.get(r.status_code, f'HTTP {r.status_code}')}")
except Exception as e:
self.logger.error(f"Connection error: {e}")
return None
####################################################################################################
def _calculate_sha256(self, path: Path) -> str:
self.logger.debug(f"Calculating SHA256 for {path}")
sha256_hash = hashlib.sha256()
with open(path, "rb") as f:
for byte_block in iter(lambda: f.read(1048576), b""):
sha256_hash.update(byte_block)
return sha256_hash.hexdigest()
def upload_file(self, file_path: str, chunk_size: int = 5242880) -> Optional[str]:
path = Path(file_path)
if not path.exists():
self.logger.error(f"File not found: {file_path}")
return None
file_size = path.stat().st_size
self.logger.info(f"Initiating upload for {path.name} ({file_size} bytes)")
if file_size > 536870912:
self.logger.error(f"File size exceeds 512MB limit: {file_size} bytes")
return None
local_sha256 = self._calculate_sha256(path)
status_req = self._request("GET", f"/api/processing_status/{local_sha256}")
if status_req and status_req.json().get('status') in ['done', 'processing', 'queued']:
self.logger.info(f"File already exists or processing on server: {local_sha256}")
return local_sha256
if file_size > chunk_size:
return self._upload_chunked(path, chunk_size, file_size)
return self._upload_standard(path)
####################################################################################################
def _upload_standard(self, path: Path, max_retries: int = 3) -> Optional[str]:
self.logger.info(f"Starting standard upload for {path.name}")
with open(path, 'rb') as f:
file_data = f.read()
for attempt in range(max_retries):
r = self._request("POST", "/api/upload", files={'file': (path.name, file_data)})
if r and 'url' in r.json():
sha256 = r.json().get('url', '').split('/')[-1]
self.logger.info(f"Standard upload successful: {sha256}")
return sha256
self.logger.warning(f"Standard upload retry {attempt + 1}/{max_retries}")
time.sleep(1)
self.logger.error("Standard upload failed after retries")
return None
def _upload_chunked(self, path: Path, chunk_size: int, file_size: int, max_retries: int = 3) -> Optional[str]:
total_chunks = (file_size + chunk_size - 1) // chunk_size
upload_id = uuid.uuid4().hex
self.logger.info(f"Starting chunked upload for {path.name} (Chunks: {total_chunks}, ID: {upload_id})")
with open(path, 'rb') as f:
for i in range(total_chunks):
chunk_data = f.read(chunk_size)
headers = {"X-Chunk-Index": str(i), "X-Total-Chunks": str(total_chunks), "X-Upload-ID": upload_id}
chunk_success = False
for attempt in range(max_retries):
r = self._request("POST", "/api/upload", files={'file': (path.name, chunk_data)}, headers=headers)
if r:
chunk_success = True
self.logger.debug(f"Uploaded chunk {i + 1}/{total_chunks}")
if i == total_chunks - 1 and 'url' in r.json():
sha256 = r.json().get('url', '').split('/')[-1]
self.logger.info(f"Chunked upload successful: {sha256}")
return sha256
break
self.logger.warning(f"Chunk upload retry {attempt + 1}/{max_retries} for chunk {i}")
time.sleep(1)
if not chunk_success:
self.logger.error(f"Failed to upload chunk {i + 1}/{total_chunks}")
return None
return None
####################################################################################################
def wait_for_analysis(self, sha256: str, interval: int = 5, max_retries: int = 10) -> bool:
self.logger.info(f"Waiting for analysis completion: {sha256}")
for attempt in range(max_retries):
r = self._request("GET", f"/api/processing_status/{sha256}")
if r:
status = r.json().get('status')
self.logger.debug(f"Analysis status: {status}")
if status == 'done':
self.logger.info(f"Analysis completed: {sha256}")
return True
if status in ['missing', 'error', 'failed']:
self.logger.error(f"Analysis failed with status: {status}")
return False
time.sleep(interval)
self.logger.error(f"Analysis polling timed out for {sha256}")
return False
def get_report(self, sha256: str) -> Optional[Dict[str, Any]]:
self.logger.info(f"Fetching report for {sha256}")
r = self._request("GET", f"/api/report/{sha256}")
if r:
return r.json()
self.logger.error(f"Failed to fetch report for {sha256}")
return None
####################################################################################################
def rescan(self, sha256: str) -> bool:
self.logger.info(f"Triggering rescan for {sha256}")
r = self._request("POST", f"/api/rescan/{sha256}")
success = bool(r and r.json().get('status') == 'success')
if success:
self.logger.info(f"Rescan triggered successfully for {sha256}")
else:
self.logger.error(f"Rescan failed for {sha256}")
return success
def search_files(self, query: str, limit: int = 50, page: int = 0, snapshot: Optional[str] = None) -> List[Dict[str, Any]]:
self.logger.info(f"Searching files (Query: '{query}', Limit: {limit}, Page: {page})")
payload = {'query': query, 'page': page}
if snapshot:
payload['snapshot'] = snapshot
r = self._request("POST", "/api/search_more", data=payload)
results = r.json().get('results', [])[:limit] if r else []
self.logger.info(f"Search returned {len(results)} results")
return results
def download_sample(self, sha256: str, save_dir: str = "downloads") -> Optional[str]:
self.logger.info(f"Downloading sample {sha256}")
os.makedirs(save_dir, exist_ok=True)
path = os.path.join(save_dir, f"{sha256}.zip")
r = self._request("GET", f"/api/download/{sha256}", stream=True)
if r:
with open(path, 'wb') as f:
for chunk in r.iter_content(8192):
if chunk:
f.write(chunk)
self.logger.info(f"Sample downloaded successfully to {path}")
return path
self.logger.error(f"Failed to download sample {sha256}")
return None
####################################################################################################
if __name__ == "__main__":
logging.basicConfig(level=logging.DEBUG, format='[%(asctime)s] %(levelname)s [%(name)s] - %(message)s', datefmt='%Y-%m-%d %H:%M:%S')
API_KEY = ""
HOST = "https://pyas-security.com/"
client = PYAS_Client(API_KEY, HOST)
target_file = r"test.exe"
sha = client.upload_file(target_file)
if sha and client.wait_for_analysis(sha):
report = client.get_report(sha)
if report:
meta = report.get('data', {}).get('metadata', {})
logging.info(f"Result: {meta.get('label')} ({meta.get('score')}%)")
for item in client.search_files('date>=2020; ext=exe | dll', limit=3):
client.download_sample(item['sha256'])
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["FileEntropy", "SectionMeanEntropy", "IsExe", "IsDll", "IsDriver", "Is64Bit", "Machine", "Magic", "CheckSum", "ImageBase", "SizeOfImage", "SizeOfHeaders", "Characteristics", "DllCharacteristics", "Subsystem", "LoaderFlags", "MajorLinkerVersion", "MinorLinkerVersion", "SizeOfCode", "SizeOfInitializedData", "SizeOfUninitializedData", "AddressOfEntryPoint", "BaseOfCode", "SectionAlignment", "FileAlignment", "MajorOperatingSystemVersion", "MinorOperatingSystemVersion", "MajorImageVersion", "MinorImageVersion", "MajorSubsystemVersion", "MinorSubsystemVersion", "SizeOfStackReserve", "SizeOfStackCommit", "SizeOfHeapReserve", "SizeOfHeapCommit", "NumberOfSections", "NumberOfRvaAndSizes", "PointerToSymbolTable", "NumberOfSymbols", "SizeOfOptionalHeader", "TextSectionMaxEntropy", "TextSectionMeanEntropy", "TextSizeRatio", "DataSectionMaxEntropy", "DataSectionMeanEntropy", "DataSizeRatio", "RsrcSectionMaxEntropy", "RsrcSectionMeanEntropy", "RsrcSizeRatio", "SectionCount", "ExecutableSections", "WritableSections", "ReadableSections", "SectionException", "Char_00000020_Count", "Char_00000020_MeanEntropy", "Char_00000040_Count", "Char_00000040_MeanEntropy", "Char_00000080_Count", "Char_00000080_MeanEntropy", "Char_02000000_Count", "Char_02000000_MeanEntropy", "Char_20000000_Count", "Char_20000000_MeanEntropy", "Char_40000000_Count", "Char_40000000_MeanEntropy", "Char_80000000_Count", "Char_80000000_MeanEntropy", "IconCount", "ApiCount", "ExportCount", "DebugCount", "ExceptionCount", "ImportCount", "ImportFunctionCount", "FileDescriptionLength", "FileVersionLength", "ProductNameLength", "ProductVersionLength", "CompanyNameLength", "LegalCopyrightLength", "CommentsLength", "InternalNameLength", "LegalTrademarksLength", "SpecialBuildLength", "PrivateBuildLength", "TrustSigned", "IsDebug", "IsPatched", "IsPrivateBuild", "IsPreRelease", "IsSpecialBuild", "IsAdmin", "IsInstall", "HasTlsCallbacks", "HasInvalidTimestamp", "HasRelocationDirectory", "HasPacked", "FileTimeException", "Cat_AntiDebug", "Cat_Audio", "Cat_COM", "Cat_Camera", "Cat_Clipboard", "Cat_DataObfuscation", "Cat_DotNet", "Cat_Encryption", "Cat_FileIO", "Cat_Graphics", "Cat_Injection", "Cat_Input", "Cat_Keylogging", "Cat_Memory", "Cat_MultiThreading", "Cat_Native", "Cat_Network", "Cat_Privileges", "Cat_ProcessControl", "Cat_Registry", "Cat_Resource", "Cat_ScreenCapture", "Cat_Services", "Cat_Synchronization", "Cat_WindowControl", "Dll_advapi32_dll", "Dll_bcrypt_dll", "Dll_comctl32_dll", "Dll_crypt32_dll", "Dll_dbghelp_dll", "Dll_gdi32_dll", "Dll_hal_dll", "Dll_imagehlp_dll", "Dll_iphlpapi_dll", "Dll_kernel32_dll", "Dll_mscoree_dll", "Dll_netapi32_dll", "Dll_ntdll_dll", "Dll_ole32_dll", "Dll_oleaut32_dll", "Dll_psapi_dll", "Dll_shell32_dll", "Dll_shlwapi_dll", "Dll_urlmon_dll", "Dll_user32_dll", "Dll_vbscript_dll", "Dll_version_dll", "Dll_winhttp_dll", "Dll_wininet_dll", "Dll_winmm_dll", "Dll_ws2_32_dll", "Dll_wsock32_dll", "Dll_wtsapi32_dll", "Api_AdjustTokenPrivileges", "Api_Base64Decode", "Api_BitBlt", "Api_CallNextHookEx", "Api_CallWindowProcA", "Api_CapCreateCaptureWindowA", "Api_CapCreateCaptureWindowW", "Api_CharLowerA", "Api_CharUpperA", "Api_CheckRemoteDebuggerPresent", "Api_CloseClipboard", "Api_CloseHandle", "Api_CoCreateInstance", "Api_CoInitialize", "Api_CoUninitialize", "Api_CompareStringA", "Api_ConnectNamedPipe", "Api_ControlService", "Api_CopyFileA", "Api_CopyFileW", "Api_CreateCompatibleBitmap", "Api_CreateCompatibleDC", "Api_CreateDCA", "Api_CreateDCW", "Api_CreateEventA", "Api_CreateEventW", "Api_CreateFileA", "Api_CreateFileMappingA", "Api_CreateFileMappingW", "Api_CreateFileW", "Api_CreateMutexA", "Api_CreateMutexW", "Api_CreateProcessA", "Api_CreateProcessW", "Api_CreateRemoteThread", "Api_CreateServiceA", "Api_CreateServiceW", "Api_CreateThread", "Api_CreateThreadpoolWork", "Api_CreateWindowExA", "Api_CryptAcquireContextA", "Api_CryptAcquireContextW", "Api_CryptCreateHash", "Api_CryptDecodeObject", "Api_CryptDecrypt", "Api_CryptDeriveKey", "Api_CryptDestroyHash", "Api_CryptDestroyKey", "Api_CryptEncrypt", "Api_CryptExportKey", "Api_CryptGenKey", "Api_CryptHashData", "Api_CryptImportKey", "Api_CryptReleaseContext", "Api_D3D11CreateDevice", "Api_DecodePointer", "Api_DefWindowProcA", "Api_DeleteCriticalSection", "Api_DeleteDC", "Api_DeleteFileA", "Api_DeleteFileW", "Api_DeleteObject", "Api_DeleteService", "Api_DestroyWindow", "Api_DeviceIoControl", "Api_Direct3DCreate9", "Api_DispatchMessageA", "Api_DnsQuery_A", "Api_DnsQuery_W", "Api_EncodePointer", "Api_EnterCriticalSection", "Api_EnumChildWindows", "Api_EnumWindows", "Api_ExitProcess", "Api_ExitThread", "Api_FindClose", "Api_FindFirstFileA", "Api_FindNextFileA", "Api_FindResourceA", "Api_FindWindowA", "Api_FindWindowW", "Api_FlushFileBuffers", "Api_FreeEnvironmentStringsW", "Api_FreeLibrary", "Api_FreeResource", "Api_GdipSaveImageToFile", "Api_GetACP", "Api_GetActiveWindow", "Api_GetAsyncKeyState", "Api_GetCapture", "Api_GetClientRect", "Api_GetClipboardData", "Api_GetCommandLineA", "Api_Line truncated
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import os, sys, time, re, math, pefile, json, datetime, mmap
import numpy as np
import onnxruntime as ort
from signify.authenticode.signed_file.pe import SignedPEFile
from signify.authenticode.verification_result import AuthenticodeVerificationResult
####################################################################################################
MODEL_FILE = "model.onnx"
FEATURE_FILE = "features.json"
MAX_FILE_SIZE = 4 * 1024 * 1024 * 1024
####################################################################################################
class WinTrust:
@staticmethod
def verify(file_path):
if not file_path or not os.path.exists(file_path) or os.path.getsize(file_path) == 0:
return 0
try:
with open(file_path, 'rb') as f:
with mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_READ) as mm:
pe = SignedPEFile(mm)
if not pe.signatures:
return 0
status, _ = pe.explain_verify()
if status == AuthenticodeVerificationResult.OK:
return 1
except Exception:
pass
return 0
####################################################################################################
class FeatureExtractor:
API_CAT_MAPPING = {
'ProcessControl': {
'CreateProcessA', 'CreateProcessW', 'WinExec', 'ShellExecuteA', 'ShellExecuteW',
'ShellExecuteExW', 'ExitProcess', 'TerminateProcess', 'OpenProcess', 'GetExitCodeProcess',
'SetThreadPriority', 'GetThreadPriority', 'GetCurrentProcess', 'GetCurrentProcessId',
'GetModuleFileNameA', 'GetCommandLineA', 'GetModuleFileNameW', 'GetStartupInfoW'
},
'Injection': {
'VirtualAlloc', 'VirtualAllocEx', 'VirtualProtect', 'VirtualProtectEx', 'WriteProcessMemory',
'ReadProcessMemory', 'CreateRemoteThread', 'QueueUserAPC', 'SetThreadContext', 'GetThreadContext',
'Wow64SetThreadContext', 'NtUnmapViewOfSection', 'ZwUnmapViewOfSection', 'RtlCreateUserThread',
'SetWindowsHookExA', 'SetWindowsHookExW', 'UnhookWindowsHookEx', 'LoadLibraryA', 'LoadLibraryW',
'LoadLibraryExA', 'LoadLibraryExW', 'GetProcAddress', 'GetModuleHandleA', 'GetModuleHandleW',
'FreeLibrary', 'CreateFileMappingA', 'CreateFileMappingW', 'MapViewOfFile', 'UnmapViewOfSection',
'VirtualFree', 'VirtualQuery'
},
'Synchronization': {
'WaitForSingleObject', 'WaitForSingleObjectEx', 'WaitForMultipleObjects', 'WaitForMultipleObjectsEx',
'CreateMutexA', 'CreateMutexW', 'OpenMutexW', 'ReleaseMutex', 'CreateEventA', 'CreateEventW',
'OpenEventW', 'SetEvent', 'ResetEvent', 'EnterCriticalSection', 'LeaveCriticalSection',
'InitializeCriticalSection', 'DeleteCriticalSection', 'Sleep', 'SleepEx',
'InitializeCriticalSectionAndSpinCount', 'InterlockedDecrement', 'InterlockedIncrement',
'InterlockedExchange', 'InterlockedCompareExchange', 'SetTimer', 'KillTimer'
},
'MultiThreading': {
'CreateThread', 'ResumeThread', 'SuspendThread', 'ExitThread', 'TerminateThread',
'GetCurrentThread', 'GetCurrentThreadId', 'TlsAlloc', 'TlsSetValue', 'TlsGetValue',
'CreateThreadpoolWork', 'SubmitThreadpoolWork', 'TlsFree'
},
'Network': {
'socket', 'connect', 'send', 'recv', 'bind', 'listen', 'accept', 'gethostbyname', 'getaddrinfo',
'WSAStartup', 'WSACleanup', 'WSAIoctl', 'WSASocketA', 'WSASocketW', 'closesocket', 'htons',
'InternetOpenA', 'InternetOpenW', 'InternetConnectA', 'InternetConnectW', 'InternetOpenUrlA',
'InternetOpenUrlW', 'HttpOpenRequestA', 'HttpOpenRequestW', 'HttpSendRequestA', 'HttpSendRequestW',
'InternetReadFile', 'URLDownloadToFileA', 'URLDownloadToFileW', 'DnsQuery_A', 'DnsQuery_W'
},
'Encryption': {
'CryptAcquireContextA', 'CryptAcquireContextW', 'CryptCreateHash', 'CryptHashData',
'CryptDeriveKey', 'CryptEncrypt', 'CryptDecrypt', 'CryptDestroyKey', 'CryptDestroyHash',
'CryptReleaseContext', 'CryptGenKey', 'CryptImportKey', 'CryptExportKey'
},
'DataObfuscation': {
'RtlDecompressBuffer', 'MultiByteToWideChar', 'WideCharToMultiByte', 'Base64Decode',
'CryptDecodeObject', 'IsDBCSLeadByte', 'CharUpperA', 'CharLowerA',
'GetStringTypeW', 'LCMapStringW', 'IsValidCodePage', 'DecodePointer', 'EncodePointer'
},
'FileIO': {
'CreateFileA', 'CreateFileW', 'WriteFile', 'ReadFile', 'DeleteFileA', 'DeleteFileW',
'CopyFileA', 'CopyFileW', 'MoveFileA', 'MoveFileW', 'FindFirstFileA', 'FindNextFileA',
'GetTempPathA', 'GetTempPathW', 'GetTempFileNameA', 'GetTempFileNameW', 'SetFileAttributesA',
'SetFileAttributesW', 'DeviceIoControl', 'SetFileTime', 'GetFileSize', 'GetFileSizeEx',
'SetFilePointer', 'FlushFileBuffers', 'ConnectNamedPipe', 'PeekNamedPipe',
'CloseHandle', 'GetFileType', 'SetStdHandle', 'SetFilePointerEx', 'FindClose',
'SetHandleCount', 'SetEndOfFile', 'GetFullPathNameA', 'GetFileAttributesA'
},
'Registry': {
'RegOpenKeyExA', 'RegOpenKeyExW', 'RegSetValueExA', 'RegSetValueExW',
'RegCreateKeyExA', 'RegCreateKeyExW', 'RegDeleteKeyA', 'RegDeleteKeyW',
'RegEnumValueA', 'RegEnumValueW', 'RegQueryValueExA', 'RegQueryValueExW',
'RegDeleteValueA', 'RegDeleteValueW', 'RegCloseKey'
},
'Services': {
'OpenSCManagerA', 'OpenSCManagerW', 'CreateServiceA', 'CreateServiceW',
'StartServiceA', 'StartServiceW', 'ControlService', 'DeleteService'
},
'Privileges': {
'AdjustTokenPrivileges', 'LookupPrivilegeValueA', 'LookupPrivilegeValueW',
'OpenProcessToken', 'NetUserAdd', 'NetLocalGroupAddMembers', 'IsAdmin',
'GetUserNameA', 'GetUserNameW'
},
'Native': {
'RtlUnwind', 'RtlVirtualUnwind', 'RtlCaptureContext', 'RtlLookupFunctionEntry',
'NtClose', 'NtQueryInformationProcess', 'RtlAllocateHeap', 'RtlFreeHeap',
'GetSystemTimeAsFileTime', 'GetLocalTime', 'GlobalMemoryStatus',
'GetVersionExA', 'GetVersionExW', 'GetComputerNameA', 'GetComputerNameW',
'GetLastError', 'GetACP', 'RaiseException', 'SetLastError', 'GetEnvironmentStringsW',
'FreeEnvironmentStringsW', 'GetLocaleInfoA', 'lstrlenA', 'GetVersion', 'GetSystemInfo',
'CompareStringA'
},
'DotNet': {
'_CorExeMain', '_CorDllMain'
},
'AntiDebug': {
'IsDebuggerPresent', 'CheckRemoteDebuggerPresent', 'OutputDebugStringA', 'OutputDebugStringW',
'GetTickCount', 'GetTickCount64', 'QueryPerformanceCounter', 'FindWindowA', 'FindWindowW',
'EnumWindows', 'EnumChildWindows', 'GetWindowRect', 'GetClientRect', 'SetWindowDisplayAffinity',
'UnhandledExceptionFilter', 'SetUnhandledExceptionFilter', 'IsProcessorFeaturePresent',
'SetErrorMode', 'GetTimeZoneInformation', 'GetDriveTypeW', 'GetDiskFreeSpaceA'
},
'Keylogging': {
'GetAsyncKeyState', 'GetKeyState', 'GetKeyboardState', 'MapVirtualKeyA', 'MapVirtualKeyW',
'ToAscii', 'ToAsciiEx', 'ToUnicode', 'ToUnicodeEx', 'GetKeyNameTextA', 'GetForegroundWindow',
'KeybdEvent', 'SendInput', 'MapVirtualKeyExA', 'MapVirtualKeyExW', 'CallNextHookEx'
},
'Input': {
'GetCursorPos', 'SetCursorPos', 'MouseEvent', 'GetDoubleClickTime',
'GetCapture', 'SetCapture'
},
'ScreenCapture': {
'BitBlt', 'StretchBlt', 'GetDC', 'GetWindowDC', 'CreateCompatibleDC', 'CreateCompatibleBitmap',
'GdipSaveImageToFile', 'PrintWindow', 'GetDesktopWindow', 'CreateDCW', 'CreateDCA',
'SelectObject', 'DeleteDC', 'DeleteObject', 'GetDeviceCaps', 'GetSystemMetrics'
},
'Graphics': {
'Direct3DCreate9', 'D3D11CreateDevice'
},
'Audio': {
'WaveInOpen', 'WaveInClose', 'WaveInStart', 'WaveInStop'
},
'Clipboard': {
'OpenClipboard', 'CloseClipboard', 'GetClipboardData', 'SetClipboardData'
},
'Camera': {
'CapCreateCaptureWindowA', 'CapCreateCaptureWindowW'
},
'Memory': {
'HeapAlloc', 'HeapFree', 'HeapSize', 'HeapCreate', 'GetProcessHeap',
'LocalAlloc', 'LocalFree', 'GlobalAlloc', 'GlobalFree', 'GlobalUnlock',
'HeapDestroy', 'GlobalLock', 'SysFreeString', 'SysAllocStringLen'
},
'Resource': {
'LoadResource', 'SizeofResource', 'LockResource', 'FreeResource', 'FindResourceA'
},
'WindowControl': {
'ShowWindow', 'DestroyWindow', 'TranslateMessage', 'DispatchMessageA', 'GetWindow',
'PeekMessageA', 'GetWindowLongA', 'CallWindowProcA', 'SetWindowLongA', 'GetWindowTextA',
'ScreenToClient', 'GetActiveWindow', 'CreateWindowExA', 'DefWindowProcA', 'GetMessageA',
'RegisterClassA', 'UnregisterClassA', 'MessageBoxA'
},
'COM': {
'CoCreateInstance', 'CoUninitialize', 'CoInitialize'
}
}
TARGET_DLLS = {
'kernel32.dll', 'user32.dll', 'gdi32.dll', 'advapi32.dll', 'shell32.dll', 'ntdll.dll', 'hal.dll',
'ws2_32.dll', 'wsock32.dll', 'wininet.dll', 'winhttp.dll', 'urlmon.dll', 'crypt32.dll', 'bcrypt.dll',
'psapi.dll', 'dbghelp.dll', 'imagehlp.dll', 'shlwapi.dll', 'ole32.dll', 'oleaut32.dll', 'comctl32.dll',
'mscoree.dll', 'vbscript.dll', 'netapi32.dll', 'iphlpapi.dll', 'wtsapi32.dll', 'version.dll', 'winmm.dll'
}
BASE_SCHEMA = [
"FileEntropy", "SectionMeanEntropy", "IsExe", "IsDll", "IsDriver", "Is64Bit", "Machine", "Magic",
"CheckSum", "ImageBase", "SizeOfImage", "SizeOfHeaders",
"Characteristics", "DllCharacteristics", "Subsystem", "LoaderFlags",
"MajorLinkerVersion", "MinorLinkerVersion", "SizeOfCode",
"SizeOfInitializedData", "SizeOfUninitializedData", "AddressOfEntryPoint",
"BaseOfCode", "SectionAlignment", "FileAlignment",
"MajorOperatingSystemVersion", "MinorOperatingSystemVersion",
"MajorImageVersion", "MinorImageVersion",
"MajorSubsystemVersion", "MinorSubsystemVersion",
"SizeOfStackReserve", "SizeOfStackCommit", "SizeOfHeapReserve", "SizeOfHeapCommit",
"NumberOfSections", "NumberOfRvaAndSizes", "PointerToSymbolTable", "NumberOfSymbols",
"SizeOfOptionalHeader",
"TextSectionMaxEntropy", "TextSectionMeanEntropy", "TextSizeRatio",
"DataSectionMaxEntropy", "DataSectionMeanEntropy", "DataSizeRatio",
"RsrcSectionMaxEntropy", "RsrcSectionMeanEntropy", "RsrcSizeRatio",
"SectionCount", "ExecutableSections",
"WritableSections", "ReadableSections", "SectionException",
"Char_00000020_Count", "Char_00000020_MeanEntropy",
"Char_00000040_Count", "Char_00000040_MeanEntropy",
"Char_00000080_Count", "Char_00000080_MeanEntropy",
"Char_02000000_Count", "Char_02000000_MeanEntropy",
"Char_20000000_Count", "Char_20000000_MeanEntropy",
"Char_40000000_Count", "Char_40000000_MeanEntropy",
"Char_80000000_Count", "Char_80000000_MeanEntropy",
"IconCount", "ApiCount", "ExportCount", "DebugCount", "ExceptionCount",
"ImportCount", "ImportFunctionCount",
"FileDescriptionLength", "FileVersionLength", "ProductNameLength",
"ProductVersionLength", "CompanyNameLength", "LegalCopyrightLength",
"CommentsLength", "InternalNameLength", "LegalTrademarksLength",
"SpecialBuildLength", "PrivateBuildLength",
"TrustSigned", "IsDebug", "IsPatched", "IsPrivateBuild", "IsPreRelease",
"IsSpecialBuild", "IsAdmin", "IsInstall", "HasTlsCallbacks",
"HasInvalidTimestamp", "HasRelocationDirectory", "HasPacked", "FileTimeException"
]
CAT_SCHEMA = [f"Cat_{k}" for k in sorted(API_CAT_MAPPING.keys())]
DLL_SCHEMA = [f"Dll_{d.replace('.', '_')}" for d in sorted(TARGET_DLLS)]
_ALL_APIS = {api for apis in API_CAT_MAPPING.values() for api in apis}
API_SCHEMA = [f"Api_{api}" for api in sorted(_ALL_APIS)]
SCHEMA = BASE_SCHEMA + CAT_SCHEMA + DLL_SCHEMA + API_SCHEMA
_API_TO_CATS = {}
for _cat, _apis in API_CAT_MAPPING.items():
for _api in _apis:
if _api not in _API_TO_CATS:
_API_TO_CATS[_api] = []
_API_TO_CATS[_api].append(_cat)
PACKERS = {
'upx', 'aspack', 'asprotect', 'pecompact', 'upack', 'fsg', 'mew',
'mpress', 'ezip', 'pklt', 'shrink', 'petite', 'telock',
'themida', 'winlicense', 'tmd', 'vmp', 'enigma', 'obsidium',
'pelock', 'exestealth', 'yoda', 'armadillo', 'zprotect',
'sforce', 'starforce', 'qihoo', 'wisevec', 'megastop',
}
INSTALLER_SIGS = [b"Nullsoft.NSIS", b"Inno Setup", b"7-Zip.7zip", b"InstallShield"]
####################################################################################################
@staticmethod
def _safe_float(val):
try:
f = float(val)
if math.isinf(f) or math.isnan(f): return 0.0
return f
except Exception:
return 0.0
@staticmethod
def _calc_entropy(data):
if not data: return 0.0
arr = np.frombuffer(data, dtype=np.uint8)
counts = np.bincount(arr, minlength=256)
probs = counts[counts > 0] / len(arr)
return float(-np.sum(probs * np.log2(probs)))
@staticmethod
def _safe_div(n, d):
return float(n) / d if d > 0 else 0.0
####################################################################################################
@classmethod
def extract(cls, file_path):
fts = {k: 0.0 for k in cls.SCHEMA}
pe = None
try:
fsize = os.path.getsize(file_path)
if fsize == 0 or fsize > MAX_FILE_SIZE:
return None
with open(file_path, "rb") as f:
file_bytes = f.read()
pe = pefile.PE(data=file_bytes, fast_load=True)
fts['TrustSigned'] = WinTrust.verify(file_path)
fh = pe.FILE_HEADER
fts['Machine'] = fh.Machine
fts['NumberOfSections'] = fh.NumberOfSections
fts['TimeDateStamp'] = fh.TimeDateStamp
fts['PointerToSymbolTable'] = fh.PointerToSymbolTable
fts['NumberOfSymbols'] = fh.NumberOfSymbols
fts['SizeOfOptionalHeader'] = fh.SizeOfOptionalHeader
fts['Characteristics'] = fh.Characteristics
curr_ts = datetime.datetime.utcnow().timestamp()
fts['HasInvalidTimestamp'] = 1 if (fh.TimeDateStamp < 631152000 or fh.TimeDateStamp > curr_ts + 2592000) else 0
fts['FileTimeException'] = 1 if fh.TimeDateStamp == 0 else 0
if hasattr(pe, 'OPTIONAL_HEADER'):
op = pe.OPTIONAL_HEADER
fts['Magic'] = getattr(op, 'Magic', 0)
fts['MajorLinkerVersion'] = getattr(op, 'MajorLinkerVersion', 0)
fts['MinorLinkerVersion'] = getattr(op, 'MinorLinkerVersion', 0)
fts['SizeOfCode'] = getattr(op, 'SizeOfCode', 0)
fts['SizeOfInitializedData'] = getattr(op, 'SizeOfInitializedData', 0)
fts['SizeOfUninitializedData'] = getattr(op, 'SizeOfUninitializedData', 0)
fts['AddressOfEntryPoint'] = getattr(op, 'AddressOfEntryPoint', 0)
fts['BaseOfCode'] = getattr(op, 'BaseOfCode', 0)
fts['ImageBase'] = getattr(op, 'ImageBase', 0)
fts['SectionAlignment'] = getattr(op, 'SectionAlignment', 0)
fts['FileAlignment'] = getattr(op, 'FileAlignment', 0)
fts['MajorOperatingSystemVersion'] = getattr(op, 'MajorOperatingSystemVersion', 0)
fts['MinorOperatingSystemVersion'] = getattr(op, 'MinorOperatingSystemVersion', 0)
fts['MajorImageVersion'] = getattr(op, 'MajorImageVersion', 0)
fts['MinorImageVersion'] = getattr(op, 'MinorImageVersion', 0)
fts['MajorSubsystemVersion'] = getattr(op, 'MajorSubsystemVersion', 0)
fts['MinorSubsystemVersion'] = getattr(op, 'MinorSubsystemVersion', 0)
fts['SizeOfImage'] = getattr(op, 'SizeOfImage', 0)
fts['SizeOfHeaders'] = getattr(op, 'SizeOfHeaders', 0)
fts['CheckSum'] = getattr(op, 'CheckSum', 0)
fts['Subsystem'] = getattr(op, 'Subsystem', 0)
fts['DllCharacteristics'] = getattr(op, 'DllCharacteristics', 0)
fts['SizeOfStackReserve'] = getattr(op, 'SizeOfStackReserve', 0)
fts['SizeOfStackCommit'] = getattr(op, 'SizeOfStackCommit', 0)
fts['SizeOfHeapReserve'] = getattr(op, 'SizeOfHeapReserve', 0)
fts['SizeOfHeapCommit'] = getattr(op, 'SizeOfHeapCommit', 0)
fts['LoaderFlags'] = getattr(op, 'LoaderFlags', 0)
fts['NumberOfRvaAndSizes'] = getattr(op, 'NumberOfRvaAndSizes', 0)
fts['Is64Bit'] = 1 if fh.Machine in (0x8664, 0xAA64, 0x0200) else 0
fts['IsExe'] = 1 if pe.is_exe() else 0
fts['IsDll'] = 1 if pe.is_dll() else 0
fts['IsDriver'] = 1 if fts['Subsystem'] == 1 else 0
if hasattr(op, 'DATA_DIRECTORY'):
reloc_idx = pefile.DIRECTORY_ENTRY.get('IMAGE_DIRECTORY_ENTRY_BASERELOC', 5)
if len(op.DATA_DIRECTORY) > reloc_idx and op.DATA_DIRECTORY[reloc_idx].Size > 0:
fts['HasRelocationDirectory'] = 1
try:
fts['FileEntropy'] = cls._calc_entropy(file_bytes)
except Exception:
pass
sec_entropies = []
text_entropies = []
data_entropies = []
rsrc_entropies = []
char_flags = [0x00000020, 0x00000040, 0x00000080, 0x02000000, 0x20000000, 0x40000000, 0x80000000]
if hasattr(pe, 'sections'):
fts['SectionCount'] = len(pe.sections)
for section in pe.sections:
try:
name = section.Name.decode('ascii', 'ignore').strip('\x00')
except Exception:
name = ""
try:
s_data = section.get_data()
s_entropy = cls._calc_entropy(s_data)
except Exception:
s_data = b""
s_entropy = 0.0
sec_entropies.append(s_entropy)
if any(p in name.lower() for p in cls.PACKERS): fts['HasPacked'] = 1
if section.Characteristics & 0x20000000: fts['ExecutableSections'] += 1
if section.Characteristics & 0x80000000: fts['WritableSections'] += 1
if section.Characteristics & 0x40000000: fts['ReadableSections'] += 1
if section.SizeOfRawData + section.PointerToRawData > fsize: fts['SectionException'] = 1
for flag in char_flags:
if section.Characteristics & flag:
fts[f'Char_{flag:08X}_Count'] += 1
fts[f'Char_{flag:08X}_MeanEntropy'] += s_entropy
ratio = cls._safe_div(section.SizeOfRawData, fsize)
if name.startswith('.text'):
text_entropies.append(s_entropy)
fts['TextSizeRatio'] += ratio
elif name.startswith('.data'):
data_entropies.append(s_entropy)
fts['DataSizeRatio'] += ratio
elif name.startswith('.rsrc'):
rsrc_entropies.append(s_entropy)
fts['RsrcSizeRatio'] += ratio
if b"requireAdministrator" in s_data: fts['IsAdmin'] = 1
for sig in cls.INSTALLER_SIGS:
if sig in s_data:
fts['IsInstall'] = 1
break
fts['SectionMeanEntropy'] = cls._safe_div(sum(sec_entropies), len(sec_entropies))
fts['TextSectionMaxEntropy'] = max(text_entropies) if text_entropies else 0.0
fts['TextSectionMeanEntropy'] = cls._safe_div(sum(text_entropies), len(text_entropies))
fts['DataSectionMaxEntropy'] = max(data_entropies) if data_entropies else 0.0
fts['DataSectionMeanEntropy'] = cls._safe_div(sum(data_entropies), len(data_entropies))
fts['RsrcSectionMaxEntropy'] = max(rsrc_entropies) if rsrc_entropies else 0.0
fts['RsrcSectionMeanEntropy'] = cls._safe_div(sum(rsrc_entropies), len(rsrc_entropies))
for flag in char_flags:
fts[f'Char_{flag:08X}_MeanEntropy'] = cls._safe_div(fts[f'Char_{flag:08X}_MeanEntropy'], fts[f'Char_{flag:08X}_Count'])
try:
pe.parse_data_directories(directories=[
pefile.DIRECTORY_ENTRY['IMAGE_DIRECTORY_ENTRY_IMPORT'],
pefile.DIRECTORY_ENTRY['IMAGE_DIRECTORY_ENTRY_EXPORT'],
pefile.DIRECTORY_ENTRY['IMAGE_DIRECTORY_ENTRY_RESOURCE'],
pefile.DIRECTORY_ENTRY['IMAGE_DIRECTORY_ENTRY_DEBUG'],
pefile.DIRECTORY_ENTRY['IMAGE_DIRECTORY_ENTRY_TLS']
])
except Exception:
pass
if hasattr(pe, 'DIRECTORY_ENTRY_TLS') and hasattr(pe.DIRECTORY_ENTRY_TLS, 'struct'):
if getattr(pe.DIRECTORY_ENTRY_TLS.struct, 'AddressOfCallBacks', 0) != 0:
fts['HasTlsCallbacks'] = 1
if hasattr(pe, 'VS_FIXEDFILEINFO') and len(pe.VS_FIXEDFILEINFO) > 0:
flags = getattr(pe.VS_FIXEDFILEINFO[0], 'FileFlags', 0)
fts['IsDebug'] = 1 if flags & 0x1 else 0
fts['IsPreRelease'] = 1 if flags & 0x2 else 0
fts['IsPatched'] = 1 if flags & 0x4 else 0
fts['IsPrivateBuild'] = 1 if flags & 0x8 else 0
fts['IsSpecialBuild'] = 1 if flags & 0x20 else 0
if hasattr(pe, 'FileInfo'):
for fileinfo_list in pe.FileInfo:
for fileinfo in fileinfo_list:
if getattr(fileinfo, 'name', '') in ('StringFileInfo', b'StringFileInfo'):
for st in getattr(fileinfo, 'StringTable', []):
for key, val in st.entries.items():
try:
k = key.decode('utf-8', 'ignore') if isinstance(key, bytes) else str(key)
v = val.decode('utf-8', 'ignore') if isinstance(val, bytes) else str(val)
length = len(v)
if k == 'FileDescription': fts['FileDescriptionLength'] = length
elif k == 'FileVersion': fts['FileVersionLength'] = length
elif k == 'ProductName': fts['ProductNameLength'] = length
elif k == 'ProductVersion': fts['ProductVersionLength'] = length
elif k == 'CompanyName': fts['CompanyNameLength'] = length
elif k == 'LegalCopyright': fts['LegalCopyrightLength'] = length
elif k == 'Comments': fts['CommentsLength'] = length
elif k == 'InternalName': fts['InternalNameLength'] = length
elif k == 'LegalTrademarks': fts['LegalTrademarksLength'] = length
elif k == 'SpecialBuild': fts['SpecialBuildLength'] = length
elif k == 'PrivateBuild': fts['PrivateBuildLength'] = length
except Exception:
continue
if hasattr(pe, 'DIRECTORY_ENTRY_IMPORT'):
fts['ImportCount'] = len(pe.DIRECTORY_ENTRY_IMPORT)
for entry in pe.DIRECTORY_ENTRY_IMPORT:
if getattr(entry, 'dll', None):
try:
dll_name = entry.dll.decode('ascii', 'ignore').lower()
if dll_name in cls.TARGET_DLLS:
fts[f"Dll_{dll_name.replace('.', '_')}"] = 1.0
except Exception:
pass
imports = getattr(entry, 'imports', [])
for imp in imports:
fts['ImportFunctionCount'] += 1
if not getattr(imp, 'name', None): continue
try:
func_name = imp.name.decode('ascii', 'ignore')
if func_name in cls._ALL_APIS:
fts[f'Api_{func_name}'] += 1
fts['ApiCount'] += 1
for cat in cls._API_TO_CATS.get(func_name, []):
fts[f'Cat_{cat}'] += 1
except Exception:
continue
if hasattr(pe, 'DIRECTORY_ENTRY_EXPORT') and hasattr(pe.DIRECTORY_ENTRY_EXPORT, 'symbols'):
fts['ExportCount'] = len(pe.DIRECTORY_ENTRY_EXPORT.symbols)
if hasattr(pe, 'DIRECTORY_ENTRY_RESOURCE'):
for entry in pe.DIRECTORY_ENTRY_RESOURCE.entries:
if getattr(entry, 'id', None) == 3 and hasattr(entry, 'directory'):
fts['IconCount'] += len(getattr(entry.directory, 'entries', []))
if hasattr(pe, 'OPTIONAL_HEADER') and hasattr(pe.OPTIONAL_HEADER, 'DATA_DIRECTORY') and len(pe.OPTIONAL_HEADER.DATA_DIRECTORY) > 3:
exc_dir = pe.OPTIONAL_HEADER.DATA_DIRECTORY[3]
if exc_dir.Size > 0:
fts['ExceptionCount'] = exc_dir.Size // 12 if fts['Machine'] in (0x8664, 0xAA64) else 0
if hasattr(pe, 'DIRECTORY_ENTRY_DEBUG'):
fts['DebugCount'] = len(pe.DIRECTORY_ENTRY_DEBUG)
for k in fts:
fts[k] = cls._safe_float(fts[k])
return fts
except Exception:
return None
finally:
if pe:
pe.close()
####################################################################################################
class ModelPredictor:
def __init__(self, model_path, feature_path):
self.sess = None
self.input_name = None
self.feature_order = []
self.model_features = self._load_features(feature_path)
self._load_model(model_path)
self._build_input_map()
def _load_features(self, path):
if os.path.exists(path):
try:
with open(path, 'r') as f:
return json.load(f)
except Exception:
pass
return [re.sub(r'[^A-Za-z0-9_]+', '', f) for f in FeatureExtractor.SCHEMA]
def _load_model(self, model_path):
if not os.path.exists(model_path):
raise FileNotFoundError(f"Model missing: {model_path}")
self.sess = ort.InferenceSession(model_path, providers=['CPUExecutionProvider'])
model_inputs = self.sess.get_inputs()
self.input_name = model_inputs[0].name
expected_dim = model_inputs[0].shape[1]
current_dim = len(self.model_features)
if current_dim != expected_dim:
raise ValueError(f"Dimension Mismatch: Expected {expected_dim}, got {current_dim}.")
def _build_input_map(self):
local_map = {re.sub(r'[^A-Za-z0-9_]+', '', raw_name): raw_name for raw_name in FeatureExtractor.SCHEMA}
self.feature_order = [local_map.get(req_feat) for req_feat in self.model_features]
def predict(self, raw_data):
vec_data = [raw_data.get(key, 0.0) if key else 0.0 for key in self.feature_order]
vec = np.array(vec_data, dtype=np.float32).reshape(1, -1)
outputs = self.sess.run(None, {self.input_name: vec})
if len(outputs) > 1:
result = outputs[1]
if isinstance(result, list) and len(result) > 0:
prob_dict = result[0]
if hasattr(prob_dict, 'get'):
return float(prob_dict.get(1, prob_dict.get('1', 0.0)))
elif isinstance(result, np.ndarray):
if result.ndim == 2 and result.shape[1] > 1:
return float(result[0][1])
return 0.0
####################################################################################################
def get_threat_name(prob_float):
prob_pct = min(int(prob_float * 100), 99)
if prob_pct >= 80:
return f"General:WinPE/Malware.{prob_pct}!ml"
elif prob_pct >= 50:
return f"General:WinPE/Suspicious.{prob_pct}!ml"
else:
return "Undetected"
def scan_target(target, predictor):
if not os.path.exists(target):
print(json.dumps({"result": "error", "prob": 0.0, "file": target, "details": "Path not found"}))
sys.stdout.flush()
return
try:
data = FeatureExtractor.extract(target)
if not data:
print(json.dumps({"result": "error", "prob": 0.0, "file": target, "details": "Extraction failed"}))
sys.stdout.flush()
return
prob = predictor.predict(data)
label = get_threat_name(prob)
print(json.dumps({"result": label, "prob": round(prob, 4), "file": target}))
sys.stdout.flush()
except Exception as e:
print(json.dumps({"result": "error", "prob": 0.0, "file": target, "details": str(e)}))
sys.stdout.flush()
####################################################################################################
if __name__ == "__main__":
base_dir = os.path.dirname(sys.executable) if getattr(sys, 'frozen', False) else os.path.dirname(os.path.abspath(__file__))
model_path = os.path.join(base_dir, MODEL_FILE)
feature_path = os.path.join(base_dir, FEATURE_FILE)
try:
predictor = ModelPredictor(model_path, feature_path)
except Exception as e:
print(json.dumps({"result": "fatal", "details": str(e)}))
sys.stdout.flush()
sys.exit(1)
if len(sys.argv) > 1:
for path in sys.argv[1:]:
scan_target(path.strip(), predictor)
else:
for line in sys.stdin:
target = line.strip()
if not target or target.lower() in ['q', 'exit']:
break
scan_target(target, predictor)
-4
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@@ -1,4 +0,0 @@
onnxruntime
numpy
pefile
signify[full]
File diff suppressed because it is too large. Load diff
+545
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@@ -0,0 +1,545 @@
import os, sys, math, json, pefile, datetime
import numpy as np
import onnxruntime as ort
import ctypes, ctypes.wintypes
####################################################################################################
MODEL_FILE = "Pefile_General_S1.onnx"
FEATURE_FILE = "features.json"
MAX_FILE_SIZE = 4 * 1024 * 1024 * 1024
TARGET_EXTENSIONS = {
'.exe', '.dll', '.sys', '.ocx', '.scr', '.efi', '.acm', '.ax', '.cpl', '.drv', '.com', '.mui', '.pyd'
}
####################################################################################################
class WINTRUST_FILE_INFO(ctypes.Structure):
_fields_ = [
("cbStruct", ctypes.wintypes.DWORD),
("pcwszFilePath", ctypes.wintypes.LPCWSTR),
("hFile", ctypes.wintypes.HANDLE),
("pgKnownSubject", ctypes.wintypes.LPVOID)
]
class WINTRUST_DATA_UNION(ctypes.Union):
_fields_ = [
("pFile", ctypes.POINTER(WINTRUST_FILE_INFO)),
("pCatalog", ctypes.wintypes.LPVOID),
("pBlob", ctypes.wintypes.LPVOID),
("pSgnr", ctypes.wintypes.LPVOID),
("pCert", ctypes.wintypes.LPVOID)
]
class WINTRUST_DATA(ctypes.Structure):
_fields_ = [
("cbStruct", ctypes.wintypes.DWORD),
("pPolicyCallbackData", ctypes.wintypes.LPVOID),
("pSIPClientData", ctypes.wintypes.LPVOID),
("dwUIChoice", ctypes.wintypes.DWORD),
("fdwRevocationChecks", ctypes.wintypes.DWORD),
("dwUnionChoice", ctypes.wintypes.DWORD),
("u", WINTRUST_DATA_UNION),
("dwStateAction", ctypes.wintypes.DWORD),
("hWVTStateData", ctypes.wintypes.HANDLE),
("pwszURLReference", ctypes.wintypes.LPCWSTR),
("dwProvFlags", ctypes.wintypes.DWORD),
("dwUIContext", ctypes.wintypes.DWORD),
("pSignatureSettings", ctypes.wintypes.LPVOID)
]
class GUID(ctypes.Structure):
_fields_ = [
("Data1", ctypes.wintypes.DWORD),
("Data2", ctypes.wintypes.WORD),
("Data3", ctypes.wintypes.WORD),
("Data4", ctypes.c_ubyte * 8)
]
V2_GUID = GUID(0x00AAC56B, 0xCD44, 0x11D0, (ctypes.c_ubyte * 8)(0x8C, 0xC2, 0x00, 0xC0, 0x4F, 0xC2, 0x95, 0xEE))
####################################################################################################
class WinTrust:
@staticmethod
def verify(file_path):
if os.name != 'nt':
return 0
try:
wintrust = ctypes.windll.wintrust
wintrust.WinVerifyTrust.argtypes = [ctypes.wintypes.HWND, ctypes.POINTER(GUID), ctypes.wintypes.LPVOID]
wintrust.WinVerifyTrust.restype = ctypes.wintypes.LONG
fi = WINTRUST_FILE_INFO()
fi.cbStruct = ctypes.sizeof(WINTRUST_FILE_INFO)
fi.pcwszFilePath = os.path.abspath(file_path)
fi.hFile = None
fi.pgKnownSubject = None
wt_union = WINTRUST_DATA_UNION()
wt_union.pFile = ctypes.pointer(fi)
td = WINTRUST_DATA()
td.cbStruct = ctypes.sizeof(WINTRUST_DATA)
td.pPolicyCallbackData = None
td.pSIPClientData = None
td.dwUIChoice = 2
td.fdwRevocationChecks = 0
td.dwUnionChoice = 1
td.u = wt_union
td.dwStateAction = 0
td.hWVTStateData = None
td.pwszURLReference = None
td.dwProvFlags = 0
td.dwUIContext = 0
td.pSignatureSettings = None
return 1 if wintrust.WinVerifyTrust(None, ctypes.byref(V2_GUID), ctypes.byref(td)) == 0 else 0
except Exception:
return 0
####################################################################################################
class FeatureExtractor:
@staticmethod
def _safe_float(val):
try:
f = float(val)
return f if not (math.isinf(f) or math.isnan(f)) else 0.0
except Exception:
return 0.0
@staticmethod
def _calc_entropy(data):
if not data: return 0.0
import numpy as np
arr = np.frombuffer(data, dtype=np.uint8)
counts = np.bincount(arr, minlength=256)
probs = counts[counts > 0] / len(arr)
return float(-np.sum(probs * np.log2(probs)))
@classmethod
def _extract_overlay_features(cls, pe, fsize):
overlay_offset = pe.get_overlay_data_start_offset()
if not overlay_offset or overlay_offset >= fsize:
return {"HasOverlay": 0.0, "OverlaySize": 0.0, "OverlayRatio": 0.0, "OverlayEntropy": 0.0}
overlay_data = pe.get_overlay()
if not overlay_data:
return {"HasOverlay": 0.0, "OverlaySize": 0.0, "OverlayRatio": 0.0, "OverlayEntropy": 0.0}
sz = len(overlay_data)
return {
"HasOverlay": 1.0,
"OverlaySize": float(sz),
"OverlayRatio": float(sz) / float(fsize),
"OverlayEntropy": cls._calc_entropy(overlay_data)
}
@classmethod
def _extract_rich_header(cls, pe):
if not hasattr(pe, 'RICH_HEADER') or not pe.RICH_HEADER:
return {"HasRichHeader": 0.0, "RichHeaderCount": 0.0}
return {
"HasRichHeader": 1.0,
"RichHeaderCount": float(len(pe.RICH_HEADER.values) // 2) if hasattr(pe.RICH_HEADER, 'values') else 0.0
}
@classmethod
def _extract_ep_anomalies(cls, pe):
if not hasattr(pe, 'OPTIONAL_HEADER') or not hasattr(pe, 'sections') or not pe.sections:
return {"EntryPointSectionIndex": -1.0, "EntryPointInExecutable": 0.0, "EntryPointInLastSection": 0.0}
ep = pe.OPTIONAL_HEADER.AddressOfEntryPoint
ep_section_idx = -1
ep_in_exec = 0.0
for idx, sec in enumerate(pe.sections):
if sec.VirtualAddress <= ep < (sec.VirtualAddress + sec.Misc_VirtualSize):
ep_section_idx = idx
if sec.Characteristics & 0x20000000:
ep_in_exec = 1.0
break
return {
"EntryPointSectionIndex": float(ep_section_idx),
"EntryPointInExecutable": ep_in_exec,
"EntryPointInLastSection": 1.0 if ep_section_idx == len(pe.sections) - 1 else 0.0
}
@classmethod
def _extract_advanced_resources(cls, pe):
res_data = {
"ResourceMaxEntropy": 0.0,
"ResourceMinEntropy": 0.0,
"ResourceMeanEntropy": 0.0,
"ResourceLangCount": 0.0,
"ResourceRCDataCount": 0.0
}
if not hasattr(pe, 'DIRECTORY_ENTRY_RESOURCE'):
return res_data
entropies = []
langs = set()
rcdata_count = 0
for entry_type in pe.DIRECTORY_ENTRY_RESOURCE.entries:
if hasattr(entry_type, 'id') and entry_type.id == 10:
rcdata_count += len(getattr(entry_type.directory, 'entries', []))
if not hasattr(entry_type, 'directory'):
continue
for entry_id in entry_type.directory.entries:
if not hasattr(entry_id, 'directory'):
continue
for entry_lang in entry_id.directory.entries:
if hasattr(entry_lang, 'id'):
langs.add(entry_lang.id)
if hasattr(entry_lang, 'data'):
try:
data = pe.get_data(entry_lang.data.struct.OffsetToData, entry_lang.data.struct.Size)
entropies.append(cls._calc_entropy(data))
except Exception:
continue
res_data["ResourceLangCount"] = float(len(langs))
res_data["ResourceRCDataCount"] = float(rcdata_count)
if entropies:
res_data["ResourceMaxEntropy"] = max(entropies)
res_data["ResourceMinEntropy"] = min(entropies)
res_data["ResourceMeanEntropy"] = sum(entropies) / len(entropies)
return res_data
@classmethod
def _extract_load_config(cls, pe):
cfg = {"HasLoadConfig": 0.0, "HasCFG": 0.0, "HasSEHTable": 0.0}
if hasattr(pe, 'DIRECTORY_ENTRY_LOAD_CONFIG'):
cfg["HasLoadConfig"] = 1.0
struct = pe.DIRECTORY_ENTRY_LOAD_CONFIG.struct
if getattr(struct, 'GuardCFFunctionTable', 0) != 0:
cfg["HasCFG"] = 1.0
if getattr(struct, 'SEHandlerTable', 0) != 0:
cfg["HasSEHTable"] = 1.0
return cfg
@classmethod
def extract(cls, file_path):
pe = None
try:
fsize = os.path.getsize(file_path)
if fsize == 0 or fsize > MAX_FILE_SIZE:
return None
with open(file_path, "rb") as f:
file_bytes = f.read()
base, dlls, apis = {}, set(), set()
pe = pefile.PE(data=file_bytes, fast_load=True)
base['TrustSigned'] = float(WinTrust.verify(file_path))
base['FileEntropy'] = cls._calc_entropy(file_bytes)
base['FileSize'] = float(fsize)
fh = pe.FILE_HEADER
base['Machine'] = getattr(fh, 'Machine', 0)
base['NumberOfSections'] = getattr(fh, 'NumberOfSections', 0)
base['TimeDateStamp'] = getattr(fh, 'TimeDateStamp', 0)
base['PointerToSymbolTable'] = getattr(fh, 'PointerToSymbolTable', 0)
base['NumberOfSymbols'] = getattr(fh, 'NumberOfSymbols', 0)
base['SizeOfOptionalHeader'] = getattr(fh, 'SizeOfOptionalHeader', 0)
base['Characteristics'] = getattr(fh, 'Characteristics', 0)
curr_ts = datetime.datetime.utcnow().timestamp()
base['HasInvalidTimestamp'] = 1.0 if (base['TimeDateStamp'] < 631152000 or base['TimeDateStamp'] > curr_ts + 2592000) else 0.0
base['FileTimeException'] = 1.0 if base['TimeDateStamp'] == 0 else 0.0
base['Is64Bit'] = 1.0 if base['Machine'] in (0x8664, 0xAA64, 0x0200) else 0.0
base['IsExe'] = 1.0 if pe.is_exe() else 0.0
base['IsDll'] = 1.0 if pe.is_dll() else 0.0
base['ExceptionCount'] = 0.0
if hasattr(pe, 'OPTIONAL_HEADER'):
op = pe.OPTIONAL_HEADER
fields = ['Magic', 'MajorLinkerVersion', 'MinorLinkerVersion', 'SizeOfCode', 'SizeOfInitializedData', 'SizeOfUninitializedData', 'AddressOfEntryPoint', 'BaseOfCode', 'ImageBase', 'SectionAlignment', 'FileAlignment', 'MajorOperatingSystemVersion', 'MinorOperatingSystemVersion', 'MajorImageVersion', 'MinorImageVersion', 'MajorSubsystemVersion', 'MinorSubsystemVersion', 'SizeOfImage', 'SizeOfHeaders', 'CheckSum', 'Subsystem', 'DllCharacteristics', 'SizeOfStackReserve', 'SizeOfStackCommit', 'SizeOfHeapReserve', 'SizeOfHeapCommit', 'LoaderFlags', 'NumberOfRvaAndSizes']
for f in fields: base[f] = getattr(op, f, 0)
base['IsDriver'] = 1.0 if base.get('Subsystem') == 1 else 0.0
if hasattr(op, 'DATA_DIRECTORY'):
for i, directory in enumerate(op.DATA_DIRECTORY):
base[f'DataDirectory_{i}_Size'] = directory.Size
base[f'DataDirectory_{i}_VA'] = directory.VirtualAddress
exc_idx = pefile.DIRECTORY_ENTRY.get('IMAGE_DIRECTORY_ENTRY_EXCEPTION', 3)
if len(op.DATA_DIRECTORY) > exc_idx and op.DATA_DIRECTORY[exc_idx].Size > 0:
base['ExceptionCount'] = op.DATA_DIRECTORY[exc_idx].Size // 12 if base['Machine'] in (0x8664, 0xAA64) else 0.0
char_flags = [0x00000020, 0x00000040, 0x00000080, 0x02000000, 0x20000000, 0x40000000, 0x80000000]
for flag in char_flags:
base[f'Char_{flag:08X}_Count'] = 0.0
base[f'Char_{flag:08X}_MeanEntropy'] = 0.0
if hasattr(pe, 'sections'):
base['SectionCount'] = len(pe.sections)
entropies, raw_sizes, v_sizes = [], [], []
exec_sec, write_sec, read_sec, sec_exc = 0, 0, 0, 0
for section in pe.sections:
try:
s_data = section.get_data()
s_entropy = cls._calc_entropy(s_data)
except Exception:
s_entropy = 0.0
entropies.append(s_entropy)
raw_sizes.append(section.SizeOfRawData)
v_sizes.append(section.Misc_VirtualSize)
if section.Characteristics & 0x20000000: exec_sec += 1
if section.Characteristics & 0x80000000: write_sec += 1
if section.Characteristics & 0x40000000: read_sec += 1
if section.SizeOfRawData + section.PointerToRawData > fsize: sec_exc = 1
for flag in char_flags:
if section.Characteristics & flag:
base[f'Char_{flag:08X}_Count'] += 1.0
base[f'Char_{flag:08X}_MeanEntropy'] += s_entropy
base['SectionMaxEntropy'] = max(entropies) if entropies else 0.0
base['SectionMinEntropy'] = min(entropies) if entropies else 0.0
base['SectionMeanEntropy'] = sum(entropies) / len(entropies) if entropies else 0.0
base['SectionMaxRawSize'] = max(raw_sizes) if raw_sizes else 0.0
base['SectionMinRawSize'] = min(raw_sizes) if raw_sizes else 0.0
base['SectionMeanRawSize'] = sum(raw_sizes) / len(raw_sizes) if raw_sizes else 0.0
base['SectionMaxVSize'] = max(v_sizes) if v_sizes else 0.0
base['SectionMinVSize'] = min(v_sizes) if v_sizes else 0.0
base['SectionMeanVSize'] = sum(v_sizes) / len(v_sizes) if v_sizes else 0.0
base['ExecutableSections'] = exec_sec
base['WritableSections'] = write_sec
base['ReadableSections'] = read_sec
base['SectionException'] = float(sec_exc)
for flag in char_flags:
if base[f'Char_{flag:08X}_Count'] > 0:
base[f'Char_{flag:08X}_MeanEntropy'] = base[f'Char_{flag:08X}_MeanEntropy'] / base[f'Char_{flag:08X}_Count']
string_keys = ['FileDescription', 'FileVersion', 'ProductName', 'ProductVersion', 'CompanyName', 'LegalCopyright', 'Comments', 'InternalName', 'LegalTrademarks', 'SpecialBuild', 'PrivateBuild']
for key in string_keys:
base[f'{key}Length'] = 0.0
if hasattr(pe, 'FileInfo'):
for fileinfo_list in pe.FileInfo:
for fileinfo in fileinfo_list:
if getattr(fileinfo, 'name', '') in ('StringFileInfo', b'StringFileInfo'):
for st in getattr(fileinfo, 'StringTable', []):
for key, val in st.entries.items():
try:
k = key.decode('utf-8', 'ignore') if isinstance(key, bytes) else str(key)
if k in string_keys:
v = val.decode('utf-8', 'ignore') if isinstance(val, bytes) else str(val)
base[f'{k}Length'] = float(len(v))
except Exception:
continue
try:
pe.parse_data_directories(directories=[
pefile.DIRECTORY_ENTRY['IMAGE_DIRECTORY_ENTRY_IMPORT'],
pefile.DIRECTORY_ENTRY['IMAGE_DIRECTORY_ENTRY_EXPORT'],
pefile.DIRECTORY_ENTRY['IMAGE_DIRECTORY_ENTRY_RESOURCE'],
pefile.DIRECTORY_ENTRY['IMAGE_DIRECTORY_ENTRY_DEBUG'],
pefile.DIRECTORY_ENTRY['IMAGE_DIRECTORY_ENTRY_TLS'],
pefile.DIRECTORY_ENTRY['IMAGE_DIRECTORY_ENTRY_LOAD_CONFIG']
])
except Exception: pass
if hasattr(pe, 'DIRECTORY_ENTRY_TLS') and hasattr(pe.DIRECTORY_ENTRY_TLS, 'struct'):
base['HasTlsCallbacks'] = 1.0 if getattr(pe.DIRECTORY_ENTRY_TLS.struct, 'AddressOfCallBacks', 0) != 0 else 0.0
if hasattr(pe, 'VS_FIXEDFILEINFO') and len(pe.VS_FIXEDFILEINFO) > 0:
flags = getattr(pe.VS_FIXEDFILEINFO[0], 'FileFlags', 0)
base['IsDebug'] = 1.0 if flags & 0x1 else 0.0
base['IsPreRelease'] = 1.0 if flags & 0x2 else 0.0
base['IsPatched'] = 1.0 if flags & 0x4 else 0.0
base['IsPrivateBuild'] = 1.0 if flags & 0x8 else 0.0
base['IsSpecialBuild'] = 1.0 if flags & 0x20 else 0.0
if hasattr(pe, 'DIRECTORY_ENTRY_IMPORT'):
base['ImportCount'] = len(pe.DIRECTORY_ENTRY_IMPORT)
func_count = 0
for entry in pe.DIRECTORY_ENTRY_IMPORT:
if getattr(entry, 'dll', None):
try: dlls.add(entry.dll.decode('ascii', 'ignore').lower())
except Exception: pass
for imp in getattr(entry, 'imports', []):
func_count += 1
if getattr(imp, 'name', None):
try: apis.add(imp.name.decode('ascii', 'ignore'))
except Exception: pass
base['ImportFunctionCount'] = func_count
base['ExportCount'] = len(pe.DIRECTORY_ENTRY_EXPORT.symbols) if (hasattr(pe, 'DIRECTORY_ENTRY_EXPORT') and hasattr(pe.DIRECTORY_ENTRY_EXPORT, 'symbols')) else 0.0
if hasattr(pe, 'DIRECTORY_ENTRY_RESOURCE'):
icon_count = 0
for entry in pe.DIRECTORY_ENTRY_RESOURCE.entries:
if getattr(entry, 'id', None) == 3 and hasattr(entry, 'directory'):
icon_count += len(getattr(entry.directory, 'entries', []))
base['IconCount'] = icon_count
else:
base['IconCount'] = 0.0
base['DebugCount'] = len(pe.DIRECTORY_ENTRY_DEBUG) if hasattr(pe, 'DIRECTORY_ENTRY_DEBUG') else 0.0
base.update(cls._extract_overlay_features(pe, fsize))
base.update(cls._extract_rich_header(pe))
base.update(cls._extract_ep_anomalies(pe))
base.update(cls._extract_advanced_resources(pe))
base.update(cls._extract_load_config(pe))
for k in base: base[k] = cls._safe_float(base[k])
return {"Base": base, "DLLs": list(dlls), "APIs": list(apis)}
except Exception: return None
finally:
if pe: pe.close()
####################################################################################################
class ModelPredictor:
def __init__(self, model_path, feature_path):
self.model_features = self._load_features(feature_path)
self.sess = ort.InferenceSession(model_path, providers=['CPUExecutionProvider'])
self.input_name = self.sess.get_inputs()[0].name
expected_dim = self.sess.get_inputs()[0].shape[1]
current_dim = len(self.model_features)
if current_dim != expected_dim:
raise ValueError(f"Dimension mismatch! Model expects {expected_dim} features, but feature file lists {current_dim}.")
def _load_features(self, path):
if not os.path.exists(path):
raise FileNotFoundError(f"Feature file not found: {path}")
with open(path, 'r') as f:
return json.load(f)
def predict(self, raw_data):
vec = np.zeros((1, len(self.model_features)), dtype=np.float32)
base = raw_data.get('Base', {})
dlls = set(raw_data.get('DLLs', []))
apis = set(raw_data.get('APIs', []))
for i, feat in enumerate(self.model_features):
if feat.startswith('Dll_'):
if feat[4:] in dlls:
vec[0, i] = 1.0
elif feat.startswith('Api_'):
if feat[4:] in apis:
vec[0, i] = 1.0
else:
vec[0, i] = base.get(feat, 0.0)
outputs = self.sess.run(None, {self.input_name: vec})
if len(outputs) > 1:
result = outputs[1]
if isinstance(result, list) and len(result) > 0:
prob_dict = result[0]
if hasattr(prob_dict, 'get'):
return float(prob_dict.get(1, prob_dict.get('1', 0.0)))
elif isinstance(result, np.ndarray):
if result.ndim == 2 and result.shape[1] > 1:
return float(result[0][1])
return 0.0
####################################################################################################
def scan_target(target, predictor):
files = []
if os.path.isfile(target):
files.append(target)
elif os.path.isdir(target):
for r, _, fs in os.walk(target):
for f in fs:
if os.path.splitext(f)[1].lower() in TARGET_EXTENSIONS:
files.append(os.path.join(r, f))
if not files:
print("[-] No valid PE files found.")
return
print(f"\n[*] Scanning {len(files)} files...\n")
print(f"{'RESULT':<10} | {'PROB':<8} | {'FILE'}")
print("-" * 80)
safe_count = 0
mal_count = 0
for fpath in files:
try:
data = FeatureExtractor.extract(fpath)
if not data:
print(f"{'ERROR':<10} | {'----':<8} | {fpath}")
continue
prob = predictor.predict(data)
is_malware = prob > 0.5
label = "MALWARE" if is_malware else "SAFE"
if is_malware:
mal_count += 1
else:
safe_count += 1
print(f"{label:<10} | {prob:.4f} | {fpath}")
except Exception as e:
print(f"{'FAIL':<10} | {'----':<8} | {fpath} ({str(e)})")
print("-" * 80)
print(f"[*] Summary: Safe={safe_count}, Malware={mal_count}, Total={len(files)}")
####################################################################################################
if __name__ == "__main__":
print("\n-------------------------- PE Malware Predictor v4.0 --------------------------\n")
print(f"[*] © 2020-2026 87owo (PYAS Security)")
print(f"[*] Loading model features and weights...")
base_dir = os.path.dirname(sys.executable) if getattr(sys, 'frozen', False) else os.path.dirname(os.path.abspath(__file__))
model_path = os.path.join(base_dir, MODEL_FILE)
feature_path = os.path.join(base_dir, FEATURE_FILE)
try:
predictor = ModelPredictor(model_path, feature_path)
except Exception as e:
print(f"[-] Critical Error: {e}")
sys.exit(1)
if len(sys.argv) > 1:
for path in sys.argv[1:]:
target = path.strip('"').strip("'")
if os.path.exists(target):
print()
print("-" * 80)
scan_target(target, predictor)
else:
print(f"[-] Path does not exist: {target}")
else:
while True:
try:
print()
print("-" * 80)
path = input("\n[?] Enter File or Folder Path (or 'q' to exit): ").strip().strip('"').strip("'")
if path.lower() in ['q', 'exit']: break
if not os.path.exists(path):
print("[-] Path does not exist.")
continue
scan_target(path, predictor)
except KeyboardInterrupt:
break
except Exception as e:
print(f"[-] Error: {e}")
+130 -99
View File
@@ -1,109 +1,126 @@
import os, sys, time, sqlite3, re, json
import pandas as pd
import os, sys, time, json, onnxmltools
import numpy as np
import pandas as pd
import lightgbm as lgb
import onnxmltools
import scipy.sparse as sp
from collections import defaultdict
from onnxmltools.convert.common.data_types import FloatTensorType
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report, accuracy_score, roc_auc_score
from sklearn.metrics import accuracy_score, roc_auc_score
####################################################################################################
DB_PATH = "pe_features.db"
JSONL_PATH = "pe_features.jsonl"
MODEL_FILE = "model.txt"
ONNX_FILE = "Pefile_General_S1.onnx"
FEATURE_FILE = "features.json"
TEST_SIZE = 0.0001
RANDOM_SEED = 42
EXCLUDE_FEATURES = {
'label', 'filehash',
}
LGBM_PARAMS = {
'objective': 'binary',
'metric': ['binary_logloss', 'auc'],
'boosting_type': 'gbdt',
'num_leaves': 512,
'learning_rate': 0.05,
'num_leaves': 256,
'feature_fraction': 0.8,
'bagging_fraction': 0.8,
'bagging_fraction': 1.0,
'bagging_freq': 5,
'verbose': -1,
'seed': RANDOM_SEED,
'n_jobs': -1,
'max_depth': -1,
'min_data_in_leaf': 10,
'lambda_l1': 0.1,
'lambda_l2': 0.1,
'min_data_in_leaf': 50,
}
####################################################################################################
def clean_col_name(name):
return re.sub(r'[^A-Za-z0-9_]+', '', name)
def analyze_schema(jsonl_path):
print("[*] Stage 1: Scanning global schema...")
base_keys = set()
dll_counts = defaultdict(int)
api_counts = defaultdict(int)
num_lines = 0
def get_raw_schema(db_path):
if not os.path.exists(db_path):
return None
conn = sqlite3.connect(db_path)
try:
cursor = conn.cursor()
cursor.execute("PRAGMA table_info(PeData)")
columns = [row[1] for row in cursor.fetchall()]
exclude = {'label', 'id', 'filename', 'filelength', 'rowid', 'probability', 'predictedlabel', 'score', 'filehash', 'timedatestamp'}
return [c for c in columns if c.lower().strip() not in exclude]
except Exception as e:
print(f"[-] Schema extraction error: {e}")
return None
finally:
conn.close()
with open(jsonl_path, 'r') as f:
for line in f:
try:
data = json.loads(line)
base_keys.update(data.get('Base', {}).keys())
for d in data.get('DLLs', []):
dll_counts[d] += 1
for a in data.get('APIs', []):
api_counts[a] += 1
num_lines += 1
except Exception:
continue
####################################################################################################
def load_data(db_path, raw_cols):
print(f"[*] Connecting to database: {db_path}")
conn = sqlite3.connect(db_path)
req_cols = list(set(raw_cols + ['Label']))
sql = f"SELECT {', '.join(req_cols)} FROM PeData"
base_schema = sorted([k for k in base_keys if k.lower().strip() not in EXCLUDE_FEATURES])
dll_schema = sorted([f"Dll_{k}" for k, v in dll_counts.items() if v >= 1000])
api_schema = sorted([f"Api_{k}" for k, v in api_counts.items() if v >= 1000])
try:
chunks = []
for chunk in pd.read_sql_query(sql, conn, chunksize=20000):
label_col = next((c for c in chunk.columns if c.lower().strip() == 'label'), None)
if not label_col:
print("[-] Critical Error: Label column not found.")
return None, None, None
cols_to_cast = [c for c in chunk.columns if c != label_col]
chunk[cols_to_cast] = chunk[cols_to_cast].astype(np.float32)
chunk[label_col] = chunk[label_col].astype(np.int8)
chunks.append(chunk)
if not chunks:
return None, None, None
df = pd.concat(chunks, ignore_index=True)
label_col = next((c for c in df.columns if c.lower().strip() == 'label'), None)
y = df[label_col].astype(int)
X = df.drop(columns=[label_col], errors='ignore')
valid_features = [c for c in raw_cols if c in X.columns]
X = X[valid_features].copy()
rename_map = {old: clean_col_name(old) for old in X.columns}
X = X.rename(columns=rename_map)
if X.columns.duplicated().any():
print("[-] Warning: Duplicate column names detected after cleaning. Deduplicating...")
X = X.loc[:, ~X.columns.duplicated()]
final_features = X.columns.tolist()
return X, y, final_features
finally:
conn.close()
return base_schema, dll_schema, api_schema, num_lines
####################################################################################################
def train_process(X, y):
def load_data_efficiently(jsonl_path, base_schema, dll_schema, api_schema, num_lines):
print(f"[*] Stage 2: Building sparse feature matrix dynamically (Expected samples: {num_lines})...")
final_features = base_schema + dll_schema + api_schema
num_features = len(final_features)
feature_idx = {feat: i for i, feat in enumerate(final_features)}
rows, cols, vals = [], [], []
y = np.zeros(num_lines, dtype=np.int8)
with open(jsonl_path, 'r') as f:
row_idx = 0
for line in f:
try:
data = json.loads(line)
y[row_idx] = data.get('Label', 0)
for k, v in data.get('Base', {}).items():
idx = feature_idx.get(k)
if idx is not None:
val = float(v)
if val != 0.0:
rows.append(row_idx)
cols.append(idx)
vals.append(val)
for d in data.get('DLLs', []):
idx = feature_idx.get(f"Dll_{d}")
if idx is not None:
rows.append(row_idx)
cols.append(idx)
vals.append(1.0)
for a in data.get('APIs', []):
idx = feature_idx.get(f"Api_{a}")
if idx is not None:
rows.append(row_idx)
cols.append(idx)
vals.append(1.0)
row_idx += 1
except Exception:
continue
y = y[:row_idx]
X = sp.csr_matrix((vals, (rows, cols)), shape=(row_idx, num_features), dtype=np.float32)
return X, pd.Series(y), final_features
####################################################################################################
def _calculate_dynamic_lr(current_iter: int) -> float:
return max(0.01, 0.1 - (current_iter // 80) * 0.01)
def train_process(X, y, feature_names):
print(f"[*] Dataset shape: {X.shape}")
X_train, X_test, y_train, y_test = train_test_split(
@@ -117,11 +134,11 @@ def train_process(X, y):
weight_ratio_target = 0.01
final_pos_weight = base_weight * weight_ratio_target
print(f"[*] Balance Report: Safe={n_neg}, Malware={n_pos}")
print(f"[*] Weight Config: Base Balanced={base_weight:.4f}, Final Adjusted={final_pos_weight:.4f}")
print(f"[*] Sample distribution: Safe={n_neg}, Malware={n_pos}")
print(f"[*] Weight correction: Base={base_weight:.4f}, Final={final_pos_weight:.4f}")
train_data = lgb.Dataset(X_train, label=y_train)
valid_data = lgb.Dataset(X_test, label=y_test, reference=train_data)
train_data = lgb.Dataset(X_train, label=y_train, feature_name=feature_names)
valid_data = lgb.Dataset(X_test, label=y_test, reference=train_data, feature_name=feature_names)
params = LGBM_PARAMS.copy()
params['scale_pos_weight'] = final_pos_weight
@@ -133,14 +150,15 @@ def train_process(X, y):
params,
train_data,
valid_sets=[valid_data],
num_boost_round=1000,
num_boost_round=500,
callbacks=[
lgb.log_evaluation(period=100)
lgb.log_evaluation(period=50),
lgb.reset_parameter(learning_rate=_calculate_dynamic_lr)
]
)
elapsed = time.time() - start_time
print(f"\n[+] Training finished in {elapsed:.2f}s")
print(f"\n[+] Training complete, time elapsed {elapsed:.2f} seconds")
return model, X_test, y_test
@@ -156,12 +174,10 @@ def export_onnx_model(model, feature_names):
with open(FEATURE_FILE, 'w') as f:
json.dump(feature_names, f)
print(f"[+] ONNX export success. Features synced to {FEATURE_FILE}")
print(f"[+] ONNX export successful. Feature order saved to {FEATURE_FILE}")
except Exception as e:
print(f"[-] ONNX export failed: {e}")
####################################################################################################
def evaluate_and_save(model, X_test, y_test):
print("\n------------------- Evaluation Report -------------------\n")
y_prob = model.predict(X_test, num_iteration=model.best_iteration)
@@ -170,12 +186,25 @@ def evaluate_and_save(model, X_test, y_test):
acc = accuracy_score(y_test, y_pred)
auc = roc_auc_score(y_test, y_prob)
print(f"Accuracy : {acc:.4f}")
print(f"ROC AUC : {auc:.4f}")
print("\n" + classification_report(y_test, y_pred, zero_division=0))
tp = np.sum((y_test == 1) & (y_pred == 1))
fn = np.sum((y_test == 1) & (y_pred == 0))
tn = np.sum((y_test == 0) & (y_pred == 0))
fp = np.sum((y_test == 0) & (y_pred == 1))
total_malware = tp + fn
total_safe = tn + fp
detection_rate = (tp / total_malware * 100) if total_malware > 0 else 0.0
fpr = (fp / total_safe * 100) if total_safe > 0 else 0.0
print(f"Accuracy : {acc:.6f}")
print(f"ROC AUC : {auc:.6f}\n")
print(f"True Positive (Class 1) : {detection_rate:.3f}% ({tp}/{total_malware})")
print(f"False Positive (Class 0) : {fpr:.3f}% ({fp}/{total_safe})")
print("---------------------------------------------------------\n")
print("[*] Top 20 Features (Importance by Gain):")
print("\n---------------------------------------------------------\n")
print("[*] Top 20 Features:")
feature_names = model.feature_name()
importance = model.feature_importance(importance_type='gain')
@@ -192,25 +221,27 @@ def evaluate_and_save(model, X_test, y_test):
####################################################################################################
if __name__ == "__main__":
print("\n---------------- PE Malware Trainer v3.1 ----------------\n")
print("\n---------------- PE Malware Trainer v4.0 ----------------\n")
if not os.path.exists(DB_PATH):
print(f"[-] Error: Database {DB_PATH} not found.")
if not os.path.exists(JSONL_PATH):
print(f"[-] Error: Feature file {JSONL_PATH} not found.")
sys.exit(1)
raw_schema = get_raw_schema(DB_PATH)
if not raw_schema:
print("[-] Error: Could not read schema.")
base_schema, dll_schema, api_schema, num_lines = analyze_schema(JSONL_PATH)
if num_lines == 0:
print("[-] Error: Feature file is empty.")
sys.exit(1)
X, y, _ = load_data(DB_PATH, raw_schema)
if X is None:
sys.exit(1)
print(f"[*] Detected Base features: {len(base_schema)}")
print(f"[*] Filtered DLL features: {len(dll_schema)}")
print(f"[*] Filtered API features: {len(api_schema)}")
X, y, final_features = load_data_efficiently(JSONL_PATH, base_schema, dll_schema, api_schema, num_lines)
try:
model, X_test, y_test = train_process(X, y)
model, X_test, y_test = train_process(X, y, final_features)
evaluate_and_save(model, X_test, y_test)
except KeyboardInterrupt:
print("\n\n[-] Training interrupted.")
print("\n\n[-] Training aborted.")
except Exception as e:
print(f"\n[-] Critical Error: {e}")
print(f"\n[-] System exception: {e}")
-216
View File
@@ -1,216 +0,0 @@
import os, sys, time, sqlite3, re, json
import pandas as pd
import numpy as np
import lightgbm as lgb
import onnxmltools
from onnxmltools.convert.common.data_types import FloatTensorType
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report, accuracy_score, roc_auc_score
####################################################################################################
DB_PATH = "pe_features.db"
MODEL_FILE = "model.txt"
ONNX_FILE = "model.onnx"
FEATURE_FILE = "features.json"
TEST_SIZE = 0.0001
RANDOM_SEED = 42
LGBM_PARAMS = {
'objective': 'binary',
'metric': ['binary_logloss', 'auc'],
'boosting_type': 'gbdt',
'num_leaves': 512,
'learning_rate': 0.05,
'feature_fraction': 0.8,
'bagging_fraction': 0.8,
'bagging_freq': 5,
'verbose': -1,
'seed': RANDOM_SEED,
'n_jobs': -1,
'max_depth': -1,
'min_data_in_leaf': 10,
'lambda_l1': 0.1,
'lambda_l2': 0.1,
}
####################################################################################################
def clean_col_name(name):
return re.sub(r'[^A-Za-z0-9_]+', '', name)
def get_raw_schema(db_path):
if not os.path.exists(db_path):
return None
conn = sqlite3.connect(db_path)
try:
cursor = conn.cursor()
cursor.execute("PRAGMA table_info(PeData)")
columns = [row[1] for row in cursor.fetchall()]
exclude = {'label', 'id', 'filename', 'filelength', 'rowid', 'probability', 'predictedlabel', 'score', 'filehash', 'timedatestamp'}
return [c for c in columns if c.lower().strip() not in exclude]
except Exception as e:
print(f"[-] Schema extraction error: {e}")
return None
finally:
conn.close()
####################################################################################################
def load_data(db_path, raw_cols):
print(f"[*] Connecting to database: {db_path}")
conn = sqlite3.connect(db_path)
req_cols = list(set(raw_cols + ['Label']))
sql = f"SELECT {', '.join(req_cols)} FROM PeData"
try:
chunks = []
for chunk in pd.read_sql_query(sql, conn, chunksize=20000):
label_col = next((c for c in chunk.columns if c.lower().strip() == 'label'), None)
if not label_col:
print("[-] Critical Error: Label column not found.")
return None, None, None
cols_to_cast = [c for c in chunk.columns if c != label_col]
chunk[cols_to_cast] = chunk[cols_to_cast].astype(np.float32)
chunk[label_col] = chunk[label_col].astype(np.int8)
chunks.append(chunk)
if not chunks:
return None, None, None
df = pd.concat(chunks, ignore_index=True)
label_col = next((c for c in df.columns if c.lower().strip() == 'label'), None)
y = df[label_col].astype(int)
X = df.drop(columns=[label_col], errors='ignore')
valid_features = [c for c in raw_cols if c in X.columns]
X = X[valid_features].copy()
rename_map = {old: clean_col_name(old) for old in X.columns}
X = X.rename(columns=rename_map)
if X.columns.duplicated().any():
print("[-] Warning: Duplicate column names detected after cleaning. Deduplicating...")
X = X.loc[:, ~X.columns.duplicated()]
final_features = X.columns.tolist()
return X, y, final_features
finally:
conn.close()
####################################################################################################
def train_process(X, y):
print(f"[*] Dataset shape: {X.shape}")
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=TEST_SIZE, random_state=RANDOM_SEED, stratify=y
)
n_pos = (y_train == 1).sum()
n_neg = (y_train == 0).sum()
base_weight = n_neg / n_pos if n_pos > 0 else 1.0
weight_ratio_target = 0.001
final_pos_weight = base_weight * weight_ratio_target
print(f"[*] Balance Report: Safe={n_neg}, Malware={n_pos}")
print(f"[*] Weight Config: Base Balanced={base_weight:.4f}, Final Adjusted={final_pos_weight:.4f}")
train_data = lgb.Dataset(X_train, label=y_train)
valid_data = lgb.Dataset(X_test, label=y_test, reference=train_data)
params = LGBM_PARAMS.copy()
params['scale_pos_weight'] = final_pos_weight
print("\n[*] Starting LightGBM training...")
start_time = time.time()
model = lgb.train(
params,
train_data,
valid_sets=[valid_data],
num_boost_round=1000,
callbacks=[
lgb.log_evaluation(period=100)
]
)
elapsed = time.time() - start_time
print(f"\n[+] Training finished in {elapsed:.2f}s")
return model, X_test, y_test
####################################################################################################
def export_onnx_model(model, feature_names):
print(f"[*] Exporting ONNX model to {ONNX_FILE}...")
try:
initial_type = [('float_input', FloatTensorType([None, len(feature_names)]))]
onnx_model = onnxmltools.convert_lightgbm(model, initial_types=initial_type)
onnxmltools.utils.save_model(onnx_model, ONNX_FILE)
with open(FEATURE_FILE, 'w') as f:
json.dump(feature_names, f)
print(f"[+] ONNX export success. Features synced to {FEATURE_FILE}")
except Exception as e:
print(f"[-] ONNX export failed: {e}")
####################################################################################################
def evaluate_and_save(model, X_test, y_test):
print("\n------------------- Evaluation Report -------------------\n")
y_prob = model.predict(X_test, num_iteration=model.best_iteration)
y_pred = (y_prob > 0.5).astype(int)
acc = accuracy_score(y_test, y_pred)
auc = roc_auc_score(y_test, y_prob)
print(f"Accuracy : {acc:.4f}")
print(f"ROC AUC : {auc:.4f}")
print("\n" + classification_report(y_test, y_pred, zero_division=0))
print("---------------------------------------------------------\n")
print("[*] Top 20 Features (Importance by Gain):")
feature_names = model.feature_name()
importance = model.feature_importance(importance_type='gain')
feature_imp = pd.DataFrame(sorted(zip(importance, feature_names), reverse=True), columns=['Value', 'Feature'])
print(feature_imp.head(20).to_string(index=False))
print("\n---------------------------------------------------------\n")
model.save_model(MODEL_FILE)
print(f"[+] Native model saved to: {os.path.abspath(MODEL_FILE)}")
export_onnx_model(model, feature_names)
####################################################################################################
if __name__ == "__main__":
print("\n---------------- PE Malware Trainer v3.1 ----------------\n")
if not os.path.exists(DB_PATH):
print(f"[-] Error: Database {DB_PATH} not found.")
sys.exit(1)
raw_schema = get_raw_schema(DB_PATH)
if not raw_schema:
print("[-] Error: Could not read schema.")
sys.exit(1)
X, y, _ = load_data(DB_PATH, raw_schema)
if X is None:
sys.exit(1)
try:
model, X_test, y_test = train_process(X, y)
evaluate_and_save(model, X_test, y_test)
except KeyboardInterrupt:
print("\n\n[-] Training interrupted.")
except Exception as e:
print(f"\n[-] Critical Error: {e}")
+130 -99
View File
@@ -1,109 +1,126 @@
import os, sys, time, sqlite3, re, json
import pandas as pd
import os, sys, time, json, onnxmltools
import numpy as np
import pandas as pd
import lightgbm as lgb
import onnxmltools
import scipy.sparse as sp
from collections import defaultdict
from onnxmltools.convert.common.data_types import FloatTensorType
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report, accuracy_score, roc_auc_score
from sklearn.metrics import accuracy_score, roc_auc_score
####################################################################################################
DB_PATH = "pe_features.db"
JSONL_PATH = "pe_features.jsonl"
MODEL_FILE = "model.txt"
ONNX_FILE = "Pefile_General_T1.onnx"
FEATURE_FILE = "features.json"
TEST_SIZE = 0.0001
RANDOM_SEED = 42
EXCLUDE_FEATURES = {
'label', 'filehash',
}
LGBM_PARAMS = {
'objective': 'binary',
'metric': ['binary_logloss', 'auc'],
'boosting_type': 'gbdt',
'num_leaves': 63,
'learning_rate': 0.05,
'num_leaves': 128,
'feature_fraction': 0.8,
'bagging_fraction': 0.8,
'bagging_fraction': 1.0,
'bagging_freq': 5,
'verbose': -1,
'seed': RANDOM_SEED,
'n_jobs': -1,
'max_depth': -1,
'min_data_in_leaf': 10,
'lambda_l1': 0.1,
'lambda_l2': 0.1,
'min_data_in_leaf': 50,
}
####################################################################################################
def clean_col_name(name):
return re.sub(r'[^A-Za-z0-9_]+', '', name)
def analyze_schema(jsonl_path):
print("[*] Stage 1: Scanning global schema...")
base_keys = set()
dll_counts = defaultdict(int)
api_counts = defaultdict(int)
num_lines = 0
def get_raw_schema(db_path):
if not os.path.exists(db_path):
return None
conn = sqlite3.connect(db_path)
try:
cursor = conn.cursor()
cursor.execute("PRAGMA table_info(PeData)")
columns = [row[1] for row in cursor.fetchall()]
exclude = {'label', 'id', 'filename', 'filelength', 'rowid', 'probability', 'predictedlabel', 'score', 'filehash', 'timedatestamp'}
return [c for c in columns if c.lower().strip() not in exclude]
except Exception as e:
print(f"[-] Schema extraction error: {e}")
return None
finally:
conn.close()
with open(jsonl_path, 'r') as f:
for line in f:
try:
data = json.loads(line)
base_keys.update(data.get('Base', {}).keys())
for d in data.get('DLLs', []):
dll_counts[d] += 1
for a in data.get('APIs', []):
api_counts[a] += 1
num_lines += 1
except Exception:
continue
####################################################################################################
def load_data(db_path, raw_cols):
print(f"[*] Connecting to database: {db_path}")
conn = sqlite3.connect(db_path)
req_cols = list(set(raw_cols + ['Label']))
sql = f"SELECT {', '.join(req_cols)} FROM PeData"
base_schema = sorted([k for k in base_keys if k.lower().strip() not in EXCLUDE_FEATURES])
dll_schema = sorted([f"Dll_{k}" for k, v in dll_counts.items() if v >= 1000])
api_schema = sorted([f"Api_{k}" for k, v in api_counts.items() if v >= 1000])
try:
chunks = []
for chunk in pd.read_sql_query(sql, conn, chunksize=20000):
label_col = next((c for c in chunk.columns if c.lower().strip() == 'label'), None)
if not label_col:
print("[-] Critical Error: Label column not found.")
return None, None, None
cols_to_cast = [c for c in chunk.columns if c != label_col]
chunk[cols_to_cast] = chunk[cols_to_cast].astype(np.float32)
chunk[label_col] = chunk[label_col].astype(np.int8)
chunks.append(chunk)
if not chunks:
return None, None, None
df = pd.concat(chunks, ignore_index=True)
label_col = next((c for c in df.columns if c.lower().strip() == 'label'), None)
y = df[label_col].astype(int)
X = df.drop(columns=[label_col], errors='ignore')
valid_features = [c for c in raw_cols if c in X.columns]
X = X[valid_features].copy()
rename_map = {old: clean_col_name(old) for old in X.columns}
X = X.rename(columns=rename_map)
if X.columns.duplicated().any():
print("[-] Warning: Duplicate column names detected after cleaning. Deduplicating...")
X = X.loc[:, ~X.columns.duplicated()]
final_features = X.columns.tolist()
return X, y, final_features
finally:
conn.close()
return base_schema, dll_schema, api_schema, num_lines
####################################################################################################
def train_process(X, y):
def load_data_efficiently(jsonl_path, base_schema, dll_schema, api_schema, num_lines):
print(f"[*] Stage 2: Building sparse feature matrix dynamically (Expected samples: {num_lines})...")
final_features = base_schema + dll_schema + api_schema
num_features = len(final_features)
feature_idx = {feat: i for i, feat in enumerate(final_features)}
rows, cols, vals = [], [], []
y = np.zeros(num_lines, dtype=np.int8)
with open(jsonl_path, 'r') as f:
row_idx = 0
for line in f:
try:
data = json.loads(line)
y[row_idx] = data.get('Label', 0)
for k, v in data.get('Base', {}).items():
idx = feature_idx.get(k)
if idx is not None:
val = float(v)
if val != 0.0:
rows.append(row_idx)
cols.append(idx)
vals.append(val)
for d in data.get('DLLs', []):
idx = feature_idx.get(f"Dll_{d}")
if idx is not None:
rows.append(row_idx)
cols.append(idx)
vals.append(1.0)
for a in data.get('APIs', []):
idx = feature_idx.get(f"Api_{a}")
if idx is not None:
rows.append(row_idx)
cols.append(idx)
vals.append(1.0)
row_idx += 1
except Exception:
continue
y = y[:row_idx]
X = sp.csr_matrix((vals, (rows, cols)), shape=(row_idx, num_features), dtype=np.float32)
return X, pd.Series(y), final_features
####################################################################################################
def _calculate_dynamic_lr(current_iter: int) -> float:
return max(0.01, 0.1 - (current_iter // 80) * 0.01)
def train_process(X, y, feature_names):
print(f"[*] Dataset shape: {X.shape}")
X_train, X_test, y_train, y_test = train_test_split(
@@ -117,11 +134,11 @@ def train_process(X, y):
weight_ratio_target = 0.001
final_pos_weight = base_weight * weight_ratio_target
print(f"[*] Balance Report: Safe={n_neg}, Malware={n_pos}")
print(f"[*] Weight Config: Base Balanced={base_weight:.4f}, Final Adjusted={final_pos_weight:.4f}")
print(f"[*] Sample distribution: Safe={n_neg}, Malware={n_pos}")
print(f"[*] Weight correction: Base={base_weight:.4f}, Final={final_pos_weight:.4f}")
train_data = lgb.Dataset(X_train, label=y_train)
valid_data = lgb.Dataset(X_test, label=y_test, reference=train_data)
train_data = lgb.Dataset(X_train, label=y_train, feature_name=feature_names)
valid_data = lgb.Dataset(X_test, label=y_test, reference=train_data, feature_name=feature_names)
params = LGBM_PARAMS.copy()
params['scale_pos_weight'] = final_pos_weight
@@ -133,14 +150,15 @@ def train_process(X, y):
params,
train_data,
valid_sets=[valid_data],
num_boost_round=1000,
num_boost_round=500,
callbacks=[
lgb.log_evaluation(period=100)
lgb.log_evaluation(period=50),
lgb.reset_parameter(learning_rate=_calculate_dynamic_lr)
]
)
elapsed = time.time() - start_time
print(f"\n[+] Training finished in {elapsed:.2f}s")
print(f"\n[+] Training complete, time elapsed {elapsed:.2f} seconds")
return model, X_test, y_test
@@ -156,12 +174,10 @@ def export_onnx_model(model, feature_names):
with open(FEATURE_FILE, 'w') as f:
json.dump(feature_names, f)
print(f"[+] ONNX export success. Features synced to {FEATURE_FILE}")
print(f"[+] ONNX export successful. Feature order saved to {FEATURE_FILE}")
except Exception as e:
print(f"[-] ONNX export failed: {e}")
####################################################################################################
def evaluate_and_save(model, X_test, y_test):
print("\n------------------- Evaluation Report -------------------\n")
y_prob = model.predict(X_test, num_iteration=model.best_iteration)
@@ -170,12 +186,25 @@ def evaluate_and_save(model, X_test, y_test):
acc = accuracy_score(y_test, y_pred)
auc = roc_auc_score(y_test, y_prob)
print(f"Accuracy : {acc:.4f}")
print(f"ROC AUC : {auc:.4f}")
print("\n" + classification_report(y_test, y_pred, zero_division=0))
tp = np.sum((y_test == 1) & (y_pred == 1))
fn = np.sum((y_test == 1) & (y_pred == 0))
tn = np.sum((y_test == 0) & (y_pred == 0))
fp = np.sum((y_test == 0) & (y_pred == 1))
total_malware = tp + fn
total_safe = tn + fp
detection_rate = (tp / total_malware * 100) if total_malware > 0 else 0.0
fpr = (fp / total_safe * 100) if total_safe > 0 else 0.0
print(f"Accuracy : {acc:.6f}")
print(f"ROC AUC : {auc:.6f}\n")
print(f"True Positive (Class 1) : {detection_rate:.3f}% ({tp}/{total_malware})")
print(f"False Positive (Class 0) : {fpr:.3f}% ({fp}/{total_safe})")
print("---------------------------------------------------------\n")
print("[*] Top 20 Features (Importance by Gain):")
print("\n---------------------------------------------------------\n")
print("[*] Top 20 Features:")
feature_names = model.feature_name()
importance = model.feature_importance(importance_type='gain')
@@ -192,25 +221,27 @@ def evaluate_and_save(model, X_test, y_test):
####################################################################################################
if __name__ == "__main__":
print("\n---------------- PE Malware Trainer v3.1 ----------------\n")
print("\n---------------- PE Malware Trainer v4.0 ----------------\n")
if not os.path.exists(DB_PATH):
print(f"[-] Error: Database {DB_PATH} not found.")
if not os.path.exists(JSONL_PATH):
print(f"[-] Error: Feature file {JSONL_PATH} not found.")
sys.exit(1)
raw_schema = get_raw_schema(DB_PATH)
if not raw_schema:
print("[-] Error: Could not read schema.")
base_schema, dll_schema, api_schema, num_lines = analyze_schema(JSONL_PATH)
if num_lines == 0:
print("[-] Error: Feature file is empty.")
sys.exit(1)
X, y, _ = load_data(DB_PATH, raw_schema)
if X is None:
sys.exit(1)
print(f"[*] Detected Base features: {len(base_schema)}")
print(f"[*] Filtered DLL features: {len(dll_schema)}")
print(f"[*] Filtered API features: {len(api_schema)}")
X, y, final_features = load_data_efficiently(JSONL_PATH, base_schema, dll_schema, api_schema, num_lines)
try:
model, X_test, y_test = train_process(X, y)
model, X_test, y_test = train_process(X, y, final_features)
evaluate_and_save(model, X_test, y_test)
except KeyboardInterrupt:
print("\n\n[-] Training interrupted.")
print("\n\n[-] Training aborted.")
except Exception as e:
print(f"\n[-] Critical Error: {e}")
print(f"\n[-] System exception: {e}")
+187 -12
View File
@@ -56,7 +56,7 @@ body {
}
.navigate-title {
font-size: 16px;
font-size: 17px;
font-weight: 600;
letter-spacing: -0.2px;
}
@@ -292,17 +292,14 @@ body {
border: 1px solid var(--border-color);
border-radius: 12px;
background-color: var(--bg-panel);
overflow-y: auto;
overflow-x: auto;
}
.virus-list {
list-style: none;
height: 100%;
overflow-y: auto;
overflow-x: auto;
padding: 12px;
}
.virus-list .manage-list-item {
padding: 0;
margin: 0;
min-width: max-content;
}
@@ -498,6 +495,7 @@ body {
height: 16px;
accent-color: var(--accent-color);
cursor: pointer;
flex-shrink: 0;
}
.manage-list-item-content {
@@ -510,13 +508,16 @@ body {
.custom-select-wrapper {
position: relative;
min-width: 120px;
min-width: 100px;
display: inline-grid;
vertical-align: middle;
user-select: none;
}
select.hidden + .custom-select-wrapper {
display: none !important;
}
.custom-select-trigger {
grid-area: 1 / 1;
display: flex;
justify-content: space-between;
align-items: center;
@@ -530,7 +531,24 @@ select.hidden + .custom-select-wrapper {
cursor: pointer;
transition: border-color 0.2s, box-shadow 0.2s;
gap: 12px;
box-sizing: border-box;
}
.custom-select-phantom {
grid-area: 1 / 1;
visibility: hidden;
pointer-events: none;
display: grid;
padding: 8px 16px;
font-size: 14px;
font-weight: 500;
box-sizing: border-box;
}
.custom-select-phantom span {
grid-area: 1 / 1;
white-space: nowrap;
padding-right: 28px;
}
.custom-select-wrapper.open .custom-select-trigger,
.custom-select-trigger:hover {
border-color: var(--accent-color);
@@ -550,7 +568,10 @@ select.hidden + .custom-select-wrapper {
position: absolute;
top: calc(100% + 8px);
left: 0;
right: 0;
min-width: 100%;
width: max-content;
white-space: nowrap;
background-color: var(--bg-panel);
border: 1px solid var(--border-color);
border-radius: 10px;
@@ -558,12 +579,10 @@ select.hidden + .custom-select-wrapper {
z-index: 100;
list-style: none;
margin: 0;
max-height: 0;
padding: 0 6px;
border-width: 0;
overflow: hidden;
opacity: 0;
visibility: hidden;
transform: translateY(-10px);
@@ -660,6 +679,162 @@ select.hidden + .custom-select-wrapper {
opacity: 1 !important;
}
.manage-list-header {
display: flex;
align-items: center;
gap: 12px;
padding: 12px 16px;
border-bottom: 1px solid var(--border-color);
background-color: var(--bg-panel);
font-weight: 600;
font-size: 13px;
color: var(--text-secondary);
position: sticky;
top: 0;
z-index: 10;
}
.manage-list-header input[type="checkbox"] {
width: 16px;
height: 16px;
accent-color: var(--accent-color);
cursor: pointer;
flex-shrink: 0;
}
.header-cols-container, .manage-list-item-content {
display: flex;
flex-grow: 1;
min-width: 0;
gap: 16px;
align-items: center;
}
.col-header {
position: relative;
cursor: pointer;
display: flex;
align-items: center;
padding: 0 8px;
border-right: 1px solid var(--border-color);
background-color: var(--bg-panel);
user-select: none;
-webkit-user-select: none;
}
.col-header:last-child {
border-right: none;
}
.header-text {
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
flex-grow: 1;
}
.manage-list-header, .col-header, .col-resizer {
user-select: none;
-webkit-user-select: none;
}
.col-resizer {
position: absolute;
right: -5px;
top: 0;
bottom: 0;
width: 10px;
cursor: col-resize;
z-index: 10;
background-color: transparent !important;
}
.col-resizer::after {
content: "";
position: absolute;
left: 50%;
top: 0;
bottom: 0;
width: 1px;
background-color: transparent;
transition: background-color 0.2s;
}
.col-resizer:hover::after,
.col-resizer.resizing::after {
background-color: var(--text-secondary) !important;
opacity: 0.6;
}
body.resizing-active,
body.resizing-active * {
user-select: none !important;
-webkit-user-select: none !important;
cursor: col-resize !important;
}
.col-resizer:hover {
background-color: var(--accent-color);
opacity: 0.5;
}
.col-header:hover {
color: var(--text-primary);
}
.sort-icon {
font-size: 10px;
margin-left: 4px;
color: var(--accent-color);
width: 12px;
}
.row-col {
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
font-size: 14px;
color: var(--text-primary);
}
.custom-context-menu {
position: absolute;
z-index: 10000;
background-color: var(--bg-panel);
border: 1px solid var(--border-color);
border-radius: 8px;
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.1);
padding: 4px;
display: none;
min-width: 160px;
}
.custom-context-menu.show {
display: block;
}
.custom-context-menu-item {
display: flex;
align-items: center;
gap: 10px;
padding: 8px 12px;
border-radius: 6px;
cursor: pointer;
font-size: 13px;
color: var(--text-primary);
transition: background-color 0.2s;
}
.custom-context-menu-item:hover {
background-color: var(--bg-hover);
}
.custom-context-menu-item svg {
width: 16px;
height: 16px;
color: var(--text-secondary);
}
::-webkit-scrollbar { width: 6px; height: 6px; }
::-webkit-scrollbar-track { background: transparent; }
::-webkit-scrollbar-thumb { background: var(--border-color); border-radius: 10px; }
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@@ -5,6 +5,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>PYAS Security</title>
<link rel="stylesheet" href="/static/css/style.css">
<script defer src="/static/js/i18n.js"></script>
<script defer src="/static/js/main.js"></script>
</head>
<body>
@@ -59,13 +60,13 @@
<div class="quick-actions">
<div class="list-item" style="cursor: pointer;" id="quick_scan_btn" data-action="scan">
<div class="item-info">
<h2 data-i18n>智能掃描</h2><p data-i18n>此選項可以快速掃病毒</p>
<h2 data-i18n>智能掃描</h2><p data-i18n>此選項可以快速掃描裝置安全性</p>
</div>
<button class="icon-action-btn"><svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><polyline points="9 18 15 12 9 6"></polyline></svg></button>
</div>
<div class="list-item" style="cursor: pointer;" data-target="log_export_window">
<div class="item-info">
<h2 data-i18n>日誌導出</h2><p data-i18n>此選項可以篩選導出日誌</p>
<h2 data-i18n>日誌導出</h2><p data-i18n>此選項可以篩選日誌並匯出存檔</p>
</div>
<button class="icon-action-btn"><svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><polyline points="9 18 15 12 9 6"></polyline></svg></button>
</div>
@@ -80,16 +81,15 @@
<div class="progress-widget">
<div class="header-group">
<h2 class="section-title" data-i18n>病毒掃描</h2>
<p class="section-desc" id="progress_text" data-i18n>此選項可以選擇掃描方式</p>
<p class="section-desc" id="progress_text" data-i18n>此選項可以選擇進階掃描方式</p>
</div>
<div class="action-group modern-action-group">
<button class="action-btn modern-btn danger-btn hidden" id="solve_btn" data-i18n>刪除</button>
<select id="scan_method_select" class="modern-select">
<option value="none" selected disabled data-i18n>選擇</option>
<option value="smart" data-i18n>智能</option>
<option value="file" data-i18n>檔案</option>
<option value="path" data-i18n>路徑</option>
<option value="full" data-i18n>全盤</option>
<option value="smart" data-i18n>智能掃描</option>
<option value="file" data-i18n>檔案掃描</option>
<option value="path" data-i18n>路徑掃描</option>
<option value="full" data-i18n>全盤掃描</option>
</select>
<button class="action-btn modern-btn hidden" id="stop_btn" data-i18n>停止</button>
</div>
@@ -105,37 +105,37 @@
<div class="list-widget">
<div class="list-item">
<div class="item-info">
<h2 data-i18n>進程防護</h2><p data-i18n>此選項可以攔截進程病毒</p>
<h2 data-i18n>進程防護</h2><p data-i18n>此選項可以終止惡意進程運行</p>
</div>
<label class="toggle-switch"><input type="checkbox" checked><span class="slider"></span></label>
</div>
<div class="list-item">
<div class="item-info">
<h2 data-i18n>檔案防護</h2><p data-i18n>此選項可以攔截檔案變更</p>
<h2 data-i18n>檔案防護</h2><p data-i18n>此選項可以隔離惡意檔案建立</p>
</div>
<label class="toggle-switch"><input type="checkbox" checked><span class="slider"></span></label>
</div>
<div class="list-item">
<div class="item-info">
<h2 data-i18n>系統防護</h2><p data-i18n>此選項可以攔截系統項目</p>
<h2 data-i18n>系統防護</h2><p data-i18n>此選項可以實時修復系統異常</p>
</div>
<label class="toggle-switch"><input type="checkbox" checked><span class="slider"></span></label>
</div>
<div class="list-item">
<div class="item-info">
<h2 data-i18n>驅動防護</h2><p data-i18n>此選項可以增強自身防護</p>
<h2 data-i18n>驅動防護</h2><p data-i18n>此選項可以實時攔截惡意行為</p>
</div>
<label class="toggle-switch"><input type="checkbox" checked><span class="slider"></span></label>
</div>
<div class="list-item">
<div class="item-info">
<h2 data-i18n>網路防護</h2><p data-i18n>此選項可以攔截網路通訊</p>
<h2 data-i18n>網路防護</h2><p data-i18n>此選項可以攔截惡意網路連接</p>
</div>
<label class="toggle-switch"><input type="checkbox" checked><span class="slider"></span></label>
</div>
<div class="list-item" style="cursor: pointer;" data-target="custom_protect_window">
<div class="item-info">
<h2 data-i18n>自訂防護</h2><p data-i18n>此選項可以導入自訂防護</p>
<h2 data-i18n>自訂防護</h2><p data-i18n>此選項可以導入自訂防護規則</p>
</div>
<button class="icon-action-btn"><svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><polyline points="9 18 15 12 9 6"></polyline></svg></button>
</div>
@@ -158,7 +158,7 @@
</div>
<div class="list-item" style="cursor: pointer;" data-target="repair_window">
<div class="item-info">
<h2 data-i18n>系統修復</h2><p data-i18n>此選項可以修復系統註冊項目</p>
<h2 data-i18n>系統修復</h2><p data-i18n>此選項可以修復系統登錄檔項目</p>
</div>
<button class="icon-action-btn"><svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><polyline points="9 18 15 12 9 6"></polyline></svg></button>
</div>
@@ -170,13 +170,13 @@
</div>
<div class="list-item" style="cursor: pointer;" data-target="whitelist_window">
<div class="item-info">
<h2 data-i18n>白名單</h2><p data-i18n>此選項可以管理系統白名單</p>
<h2 data-i18n>白名單</h2><p data-i18n>此選項可以查看並管理白名單</p>
</div>
<button class="icon-action-btn"><svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><polyline points="9 18 15 12 9 6"></polyline></svg></button>
</div>
<div class="list-item" style="cursor: pointer;" data-target="quarantine_window">
<div class="item-info">
<h2 data-i18n>隔離區</h2><p data-i18n>此選項可以管理已隔離的檔案</p>
<h2 data-i18n>隔離區</h2><p data-i18n>此選項可以查看並管理隔離區</p>
</div>
<button class="icon-action-btn"><svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><polyline points="9 18 15 12 9 6"></polyline></svg></button>
</div>
@@ -187,25 +187,25 @@
<div class="list-widget">
<div class="list-item">
<div class="item-info">
<h2 data-i18n>增強模式</h2><p data-i18n>此選項可以增強掃描引擎</p>
<h2 data-i18n>增強模式</h2><p data-i18n>此選項可以增強靜態掃描引擎</p>
</div>
<label class="toggle-switch"><input type="checkbox"><span class="slider"></span></label>
</div>
<div class="list-item">
<div class="item-info">
<h2 data-i18n>擴展引擎</h2><p data-i18n>此選項可以使用擴展引擎</p>
<h2 data-i18n>擴展引擎</h2><p data-i18n>此選項可以使用擴展規則引擎</p>
</div>
<label class="toggle-switch"><input type="checkbox"><span class="slider"></span></label>
</div>
<div class="list-item">
<div class="item-info">
<h2 data-i18n>雲端服務</h2><p data-i18n>此選項可以上報雲端引擎</p>
<h2 data-i18n>雲端服務</h2><p data-i18n>此選項可以自動上報可疑檔案</p>
</div>
<label class="toggle-switch"><input type="checkbox" checked><span class="slider"></span></label>
</div>
<div class="list-item">
<div class="item-info">
<h2 data-i18n>選單掃描</h2><p data-i18n>此選項可以加入右鍵掃描</p>
<h2 data-i18n>選單掃描</h2><p data-i18n>此選項可以啟用右鍵掃描功能</p>
</div>
<label class="toggle-switch"><input type="checkbox"><span class="slider"></span></label>
</div>
+1657 -1515
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@@ -162,208 +162,6 @@ class rule_scanner:
####################################################################################################
class pe_scanner:
API_CAT_MAPPING = {
'ProcessControl': {
'CreateProcessA', 'CreateProcessW', 'WinExec', 'ShellExecuteA', 'ShellExecuteW',
'ShellExecuteExW', 'ExitProcess', 'TerminateProcess', 'OpenProcess', 'GetExitCodeProcess',
'SetThreadPriority', 'GetThreadPriority', 'GetCurrentProcess', 'GetCurrentProcessId',
'GetModuleFileNameA', 'GetCommandLineA', 'GetModuleFileNameW', 'GetStartupInfoW'
},
'Injection': {
'VirtualAlloc', 'VirtualAllocEx', 'VirtualProtect', 'VirtualProtectEx', 'WriteProcessMemory',
'ReadProcessMemory', 'CreateRemoteThread', 'QueueUserAPC', 'SetThreadContext', 'GetThreadContext',
'Wow64SetThreadContext', 'NtUnmapViewOfSection', 'ZwUnmapViewOfSection', 'RtlCreateUserThread',
'SetWindowsHookExA', 'SetWindowsHookExW', 'UnhookWindowsHookEx', 'LoadLibraryA', 'LoadLibraryW',
'LoadLibraryExA', 'LoadLibraryExW', 'GetProcAddress', 'GetModuleHandleA', 'GetModuleHandleW',
'FreeLibrary', 'CreateFileMappingA', 'CreateFileMappingW', 'MapViewOfFile', 'UnmapViewOfSection',
'VirtualFree', 'VirtualQuery'
},
'Synchronization': {
'WaitForSingleObject', 'WaitForSingleObjectEx', 'WaitForMultipleObjects', 'WaitForMultipleObjectsEx',
'CreateMutexA', 'CreateMutexW', 'OpenMutexW', 'ReleaseMutex', 'CreateEventA', 'CreateEventW',
'OpenEventW', 'SetEvent', 'ResetEvent', 'EnterCriticalSection', 'LeaveCriticalSection',
'InitializeCriticalSection', 'DeleteCriticalSection', 'Sleep', 'SleepEx',
'InitializeCriticalSectionAndSpinCount', 'InterlockedDecrement', 'InterlockedIncrement',
'InterlockedExchange', 'InterlockedCompareExchange', 'SetTimer', 'KillTimer'
},
'MultiThreading': {
'CreateThread', 'ResumeThread', 'SuspendThread', 'ExitThread', 'TerminateThread',
'GetCurrentThread', 'GetCurrentThreadId', 'TlsAlloc', 'TlsSetValue', 'TlsGetValue',
'CreateThreadpoolWork', 'SubmitThreadpoolWork', 'TlsFree'
},
'Network': {
'socket', 'connect', 'send', 'recv', 'bind', 'listen', 'accept', 'gethostbyname', 'getaddrinfo',
'WSAStartup', 'WSACleanup', 'WSAIoctl', 'WSASocketA', 'WSASocketW', 'closesocket', 'htons',
'InternetOpenA', 'InternetOpenW', 'InternetConnectA', 'InternetConnectW', 'InternetOpenUrlA',
'InternetOpenUrlW', 'HttpOpenRequestA', 'HttpOpenRequestW', 'HttpSendRequestA', 'HttpSendRequestW',
'InternetReadFile', 'URLDownloadToFileA', 'URLDownloadToFileW', 'DnsQuery_A', 'DnsQuery_W'
},
'Encryption': {
'CryptAcquireContextA', 'CryptAcquireContextW', 'CryptCreateHash', 'CryptHashData',
'CryptDeriveKey', 'CryptEncrypt', 'CryptDecrypt', 'CryptDestroyKey', 'CryptDestroyHash',
'CryptReleaseContext', 'CryptGenKey', 'CryptImportKey', 'CryptExportKey'
},
'DataObfuscation': {
'RtlDecompressBuffer', 'MultiByteToWideChar', 'WideCharToMultiByte', 'Base64Decode',
'CryptDecodeObject', 'IsDBCSLeadByte', 'CharUpperA', 'CharLowerA',
'GetStringTypeW', 'LCMapStringW', 'IsValidCodePage', 'DecodePointer', 'EncodePointer'
},
'FileIO': {
'CreateFileA', 'CreateFileW', 'WriteFile', 'ReadFile', 'DeleteFileA', 'DeleteFileW',
'CopyFileA', 'CopyFileW', 'MoveFileA', 'MoveFileW', 'FindFirstFileA', 'FindNextFileA',
'GetTempPathA', 'GetTempPathW', 'GetTempFileNameA', 'GetTempFileNameW', 'SetFileAttributesA',
'SetFileAttributesW', 'DeviceIoControl', 'SetFileTime', 'GetFileSize', 'GetFileSizeEx',
'SetFilePointer', 'FlushFileBuffers', 'ConnectNamedPipe', 'PeekNamedPipe',
'CloseHandle', 'GetFileType', 'SetStdHandle', 'SetFilePointerEx', 'FindClose',
'SetHandleCount', 'SetEndOfFile', 'GetFullPathNameA', 'GetFileAttributesA'
},
'Registry': {
'RegOpenKeyExA', 'RegOpenKeyExW', 'RegSetValueExA', 'RegSetValueExW',
'RegCreateKeyExA', 'RegCreateKeyExW', 'RegDeleteKeyA', 'RegDeleteKeyW',
'RegEnumValueA', 'RegEnumValueW', 'RegQueryValueExA', 'RegQueryValueExW',
'RegDeleteValueA', 'RegDeleteValueW', 'RegCloseKey'
},
'Services': {
'OpenSCManagerA', 'OpenSCManagerW', 'CreateServiceA', 'CreateServiceW',
'StartServiceA', 'StartServiceW', 'ControlService', 'DeleteService'
},
'Privileges': {
'AdjustTokenPrivileges', 'LookupPrivilegeValueA', 'LookupPrivilegeValueW',
'OpenProcessToken', 'NetUserAdd', 'NetLocalGroupAddMembers', 'IsAdmin',
'GetUserNameA', 'GetUserNameW'
},
'Native': {
'RtlUnwind', 'RtlVirtualUnwind', 'RtlCaptureContext', 'RtlLookupFunctionEntry',
'NtClose', 'NtQueryInformationProcess', 'RtlAllocateHeap', 'RtlFreeHeap',
'GetSystemTimeAsFileTime', 'GetLocalTime', 'GlobalMemoryStatus',
'GetVersionExA', 'GetVersionExW', 'GetComputerNameA', 'GetComputerNameW',
'GetLastError', 'GetACP', 'RaiseException', 'SetLastError', 'GetEnvironmentStringsW',
'FreeEnvironmentStringsW', 'GetLocaleInfoA', 'lstrlenA', 'GetVersion', 'GetSystemInfo',
'CompareStringA'
},
'DotNet': {
'_CorExeMain', '_CorDllMain'
},
'AntiDebug': {
'IsDebuggerPresent', 'CheckRemoteDebuggerPresent', 'OutputDebugStringA', 'OutputDebugStringW',
'GetTickCount', 'GetTickCount64', 'QueryPerformanceCounter', 'FindWindowA', 'FindWindowW',
'EnumWindows', 'EnumChildWindows', 'GetWindowRect', 'GetClientRect', 'SetWindowDisplayAffinity',
'UnhandledExceptionFilter', 'SetUnhandledExceptionFilter', 'IsProcessorFeaturePresent',
'SetErrorMode', 'GetTimeZoneInformation', 'GetDriveTypeW', 'GetDiskFreeSpaceA'
},
'Keylogging': {
'GetAsyncKeyState', 'GetKeyState', 'GetKeyboardState', 'MapVirtualKeyA', 'MapVirtualKeyW',
'ToAscii', 'ToAsciiEx', 'ToUnicode', 'ToUnicodeEx', 'GetKeyNameTextA', 'GetForegroundWindow',
'KeybdEvent', 'SendInput', 'MapVirtualKeyExA', 'MapVirtualKeyExW', 'CallNextHookEx'
},
'Input': {
'GetCursorPos', 'SetCursorPos', 'MouseEvent', 'GetDoubleClickTime',
'GetCapture', 'SetCapture'
},
'ScreenCapture': {
'BitBlt', 'StretchBlt', 'GetDC', 'GetWindowDC', 'CreateCompatibleDC', 'CreateCompatibleBitmap',
'GdipSaveImageToFile', 'PrintWindow', 'GetDesktopWindow', 'CreateDCW', 'CreateDCA',
'SelectObject', 'DeleteDC', 'DeleteObject', 'GetDeviceCaps', 'GetSystemMetrics'
},
'Graphics': {
'Direct3DCreate9', 'D3D11CreateDevice'
},
'Audio': {
'WaveInOpen', 'WaveInClose', 'WaveInStart', 'WaveInStop'
},
'Clipboard': {
'OpenClipboard', 'CloseClipboard', 'GetClipboardData', 'SetClipboardData'
},
'Camera': {
'CapCreateCaptureWindowA', 'CapCreateCaptureWindowW'
},
'Memory': {
'HeapAlloc', 'HeapFree', 'HeapSize', 'HeapCreate', 'GetProcessHeap',
'LocalAlloc', 'LocalFree', 'GlobalAlloc', 'GlobalFree', 'GlobalUnlock',
'HeapDestroy', 'GlobalLock', 'SysFreeString', 'SysAllocStringLen'
},
'Resource': {
'LoadResource', 'SizeofResource', 'LockResource', 'FreeResource', 'FindResourceA'
},
'WindowControl': {
'ShowWindow', 'DestroyWindow', 'TranslateMessage', 'DispatchMessageA', 'GetWindow',
'PeekMessageA', 'GetWindowLongA', 'CallWindowProcA', 'SetWindowLongA', 'GetWindowTextA',
'ScreenToClient', 'GetActiveWindow', 'CreateWindowExA', 'DefWindowProcA', 'GetMessageA',
'RegisterClassA', 'UnregisterClassA', 'MessageBoxA'
},
'COM': {
'CoCreateInstance', 'CoUninitialize', 'CoInitialize'
}
}
TARGET_DLLS = {
'kernel32.dll', 'user32.dll', 'gdi32.dll', 'advapi32.dll', 'shell32.dll', 'ntdll.dll', 'hal.dll',
'ws2_32.dll', 'wsock32.dll', 'wininet.dll', 'winhttp.dll', 'urlmon.dll', 'crypt32.dll', 'bcrypt.dll',
'psapi.dll', 'dbghelp.dll', 'imagehlp.dll', 'shlwapi.dll', 'ole32.dll', 'oleaut32.dll', 'comctl32.dll',
'mscoree.dll', 'vbscript.dll', 'netapi32.dll', 'iphlpapi.dll', 'wtsapi32.dll', 'version.dll', 'winmm.dll'
}
BASE_SCHEMA = [
"FileEntropy", "SectionMeanEntropy", "IsExe", "IsDll", "IsDriver", "Is64Bit",
"Machine", "Magic", "CheckSum", "ImageBase", "SizeOfImage", "SizeOfHeaders",
"Characteristics", "DllCharacteristics", "Subsystem", "LoaderFlags",
"MajorLinkerVersion", "MinorLinkerVersion", "SizeOfCode",
"SizeOfInitializedData", "SizeOfUninitializedData", "AddressOfEntryPoint",
"BaseOfCode", "SectionAlignment", "FileAlignment",
"MajorOperatingSystemVersion", "MinorOperatingSystemVersion",
"MajorImageVersion", "MinorImageVersion",
"MajorSubsystemVersion", "MinorSubsystemVersion",
"SizeOfStackReserve", "SizeOfStackCommit", "SizeOfHeapReserve", "SizeOfHeapCommit",
"NumberOfSections", "NumberOfRvaAndSizes", "PointerToSymbolTable", "NumberOfSymbols",
"SizeOfOptionalHeader",
"TextSectionMaxEntropy", "TextSectionMeanEntropy", "TextSizeRatio",
"DataSectionMaxEntropy", "DataSectionMeanEntropy", "DataSizeRatio",
"RsrcSectionMaxEntropy", "RsrcSectionMeanEntropy", "RsrcSizeRatio",
"SectionCount", "ExecutableSections",
"WritableSections", "ReadableSections", "SectionException",
"Char_00000020_Count", "Char_00000020_MeanEntropy",
"Char_00000040_Count", "Char_00000040_MeanEntropy",
"Char_00000080_Count", "Char_00000080_MeanEntropy",
"Char_02000000_Count", "Char_02000000_MeanEntropy",
"Char_20000000_Count", "Char_20000000_MeanEntropy",
"Char_40000000_Count", "Char_40000000_MeanEntropy",
"Char_80000000_Count", "Char_80000000_MeanEntropy",
"IconCount", "ApiCount", "ExportCount", "DebugCount", "ExceptionCount",
"ImportCount", "ImportFunctionCount",
"FileDescriptionLength", "FileVersionLength", "ProductNameLength",
"ProductVersionLength", "CompanyNameLength", "LegalCopyrightLength",
"CommentsLength", "InternalNameLength", "LegalTrademarksLength",
"SpecialBuildLength", "PrivateBuildLength",
"TrustSigned", "IsDebug", "IsPatched", "IsPrivateBuild", "IsPreRelease",
"IsSpecialBuild", "IsAdmin", "IsInstall", "HasTlsCallbacks",
"HasInvalidTimestamp", "HasRelocationDirectory", "HasPacked", "FileTimeException"
]
CAT_SCHEMA = [f"Cat_{k}" for k in sorted(API_CAT_MAPPING.keys())]
DLL_SCHEMA = [f"Dll_{d.replace('.', '_')}" for d in sorted(TARGET_DLLS)]
_ALL_APIS = {api for apis in API_CAT_MAPPING.values() for api in apis}
API_SCHEMA = [f"Api_{api}" for api in sorted(_ALL_APIS)]
SCHEMA = BASE_SCHEMA + CAT_SCHEMA + DLL_SCHEMA + API_SCHEMA
_API_TO_CATS = {}
for _cat, _apis in API_CAT_MAPPING.items():
for _api in _apis:
if _api not in _API_TO_CATS:
_API_TO_CATS[_api] = []
_API_TO_CATS[_api].append(_cat)
PACKERS = {
'upx', 'aspack', 'asprotect', 'pecompact', 'upack', 'fsg', 'mew',
'mpress', 'ezip', 'pklt', 'shrink', 'petite', 'telock',
'themida', 'winlicense', 'tmd', 'vmp', 'enigma', 'obsidium',
'pelock', 'exestealth', 'yoda', 'armadillo', 'zprotect',
'sforce', 'starforce', 'qihoo', 'wisevec', 'megastop',
}
INSTALLER_SIGS = [b"Nullsoft.NSIS", b"Inno Setup", b"7-Zip.7zip", b"InstallShield"]
####################################################################################################
def __init__(self):
self.model = None
self.input_name = None
@@ -387,168 +185,267 @@ class pe_scanner:
self.model = onnxruntime.InferenceSession(model_path, providers=['CPUExecutionProvider'])
self.input_name = self.model.get_inputs()[0].name
feat_path = os.path.join(os.path.dirname(model_path), "features.json")
model_features = []
if os.path.exists(feat_path):
with open(feat_path, 'r') as f:
model_features = json.load(f)
else:
model_features = [re.sub(r'[^A-Za-z0-9_]+', '', f) for f in self.SCHEMA]
local_map = {re.sub(r'[^A-Za-z0-9_]+', '', raw_name): raw_name for raw_name in self.SCHEMA}
self.feature_order = [local_map.get(req_feat) for req_feat in model_features]
with open(feat_path, 'r', encoding='utf-8') as f:
self.feature_order = json.load(f)
except Exception:
pass
####################################################################################################
def _safe_float(self, val):
try:
f = float(val)
if math.isinf(f) or math.isnan(f): return 0.0
if math.isinf(f) or math.isnan(f):
return 0.0
return f
except Exception:
return 0.0
def _safe_div(self, n, d):
return float(n) / d if d > 0 else 0.0
def _calc_entropy(self, data):
if not data: return 0.0
if not data:
return 0.0
arr = numpy.frombuffer(data, dtype=numpy.uint8)
counts = numpy.bincount(arr, minlength=256)
probs = counts[counts > 0] / len(arr)
return float(-numpy.sum(probs * numpy.log2(probs)))
####################################################################################################
def _extract_overlay_features(self, pe, fsize):
overlay_offset = pe.get_overlay_data_start_offset()
if not overlay_offset or overlay_offset >= fsize:
return {"HasOverlay": 0.0, "OverlaySize": 0.0, "OverlayRatio": 0.0, "OverlayEntropy": 0.0}
overlay_data = pe.get_overlay()
if not overlay_data:
return {"HasOverlay": 0.0, "OverlaySize": 0.0, "OverlayRatio": 0.0, "OverlayEntropy": 0.0}
sz = len(overlay_data)
return {
"HasOverlay": 1.0,
"OverlaySize": float(sz),
"OverlayRatio": float(sz) / float(fsize),
"OverlayEntropy": self._calc_entropy(overlay_data)
}
def _extract_rich_header(self, pe):
if not hasattr(pe, 'RICH_HEADER') or not pe.RICH_HEADER:
return {"HasRichHeader": 0.0, "RichHeaderCount": 0.0}
return {
"HasRichHeader": 1.0,
"RichHeaderCount": float(len(pe.RICH_HEADER.values) // 2) if hasattr(pe.RICH_HEADER, 'values') else 0.0
}
def _extract_ep_anomalies(self, pe):
if not hasattr(pe, 'OPTIONAL_HEADER') or not hasattr(pe, 'sections') or not pe.sections:
return {"EntryPointSectionIndex": -1.0, "EntryPointInExecutable": 0.0, "EntryPointInLastSection": 0.0}
ep = pe.OPTIONAL_HEADER.AddressOfEntryPoint
ep_section_idx = -1
ep_in_exec = 0.0
for idx, sec in enumerate(pe.sections):
if sec.VirtualAddress <= ep < (sec.VirtualAddress + sec.Misc_VirtualSize):
ep_section_idx = idx
if sec.Characteristics & 0x20000000:
ep_in_exec = 1.0
break
return {
"EntryPointSectionIndex": float(ep_section_idx),
"EntryPointInExecutable": ep_in_exec,
"EntryPointInLastSection": 1.0 if ep_section_idx == len(pe.sections) - 1 else 0.0
}
def _extract_advanced_resources(self, pe):
res_data = {
"ResourceMaxEntropy": 0.0,
"ResourceMinEntropy": 0.0,
"ResourceMeanEntropy": 0.0,
"ResourceLangCount": 0.0,
"ResourceRCDataCount": 0.0
}
if not hasattr(pe, 'DIRECTORY_ENTRY_RESOURCE'):
return res_data
entropies = []
langs = set()
rcdata_count = 0
for entry_type in pe.DIRECTORY_ENTRY_RESOURCE.entries:
if hasattr(entry_type, 'id') and entry_type.id == 10:
rcdata_count += len(getattr(entry_type.directory, 'entries', []))
if not hasattr(entry_type, 'directory'):
continue
for entry_id in entry_type.directory.entries:
if not hasattr(entry_id, 'directory'):
continue
for entry_lang in entry_id.directory.entries:
if hasattr(entry_lang, 'id'):
langs.add(entry_lang.id)
if hasattr(entry_lang, 'data'):
try:
data = pe.get_data(entry_lang.data.struct.OffsetToData, entry_lang.data.struct.Size)
entropies.append(self._calc_entropy(data))
except Exception:
continue
res_data["ResourceLangCount"] = float(len(langs))
res_data["ResourceRCDataCount"] = float(rcdata_count)
if entropies:
res_data["ResourceMaxEntropy"] = max(entropies)
res_data["ResourceMinEntropy"] = min(entropies)
res_data["ResourceMeanEntropy"] = sum(entropies) / len(entropies)
return res_data
def _extract_load_config(self, pe):
cfg = {"HasLoadConfig": 0.0, "HasCFG": 0.0, "HasSEHTable": 0.0}
if hasattr(pe, 'DIRECTORY_ENTRY_LOAD_CONFIG'):
cfg["HasLoadConfig"] = 1.0
struct = pe.DIRECTORY_ENTRY_LOAD_CONFIG.struct
if getattr(struct, 'GuardCFFunctionTable', 0) != 0:
cfg["HasCFG"] = 1.0
if getattr(struct, 'SEHandlerTable', 0) != 0:
cfg["HasSEHTable"] = 1.0
return cfg
def extract_features(self, file_path):
fts = {k: 0.0 for k in self.SCHEMA}
pe = None
try:
fsize = os.path.getsize(file_path)
if fsize == 0 or fsize > 512 * 1024 * 1024:
if fsize == 0 or fsize > 536870912:
return None
with open(file_path, "rb") as f:
file_bytes = f.read()
base = {}
dlls = set()
apis = set()
pe = pefile.PE(data=file_bytes, fast_load=True)
fts['TrustSigned'] = 1 if self.signer.sign_verify(file_path) else 0
base['TrustSigned'] = 1.0 if self.signer.sign_verify(file_path) else 0.0
base['FileEntropy'] = self._calc_entropy(file_bytes)
base['FileSize'] = float(fsize)
fh = pe.FILE_HEADER
fts['Machine'] = fh.Machine
fts['NumberOfSections'] = fh.NumberOfSections
fts['TimeDateStamp'] = fh.TimeDateStamp
fts['PointerToSymbolTable'] = fh.PointerToSymbolTable
fts['NumberOfSymbols'] = fh.NumberOfSymbols
fts['SizeOfOptionalHeader'] = fh.SizeOfOptionalHeader
fts['Characteristics'] = fh.Characteristics
curr_ts = datetime.datetime.now(datetime.timezone.utc).timestamp()
fts['HasInvalidTimestamp'] = 1 if (fh.TimeDateStamp < 631152000 or fh.TimeDateStamp > curr_ts + 2592000) else 0
fts['FileTimeException'] = 1 if fh.TimeDateStamp == 0 else 0
base['Machine'] = getattr(fh, 'Machine', 0)
base['NumberOfSections'] = getattr(fh, 'NumberOfSections', 0)
base['TimeDateStamp'] = getattr(fh, 'TimeDateStamp', 0)
base['PointerToSymbolTable'] = getattr(fh, 'PointerToSymbolTable', 0)
base['NumberOfSymbols'] = getattr(fh, 'NumberOfSymbols', 0)
base['SizeOfOptionalHeader'] = getattr(fh, 'SizeOfOptionalHeader', 0)
base['Characteristics'] = getattr(fh, 'Characteristics', 0)
curr_ts = datetime.datetime.utcnow().timestamp()
base['HasInvalidTimestamp'] = 1.0 if (base['TimeDateStamp'] < 631152000 or base['TimeDateStamp'] > curr_ts + 2592000) else 0.0
base['FileTimeException'] = 1.0 if base['TimeDateStamp'] == 0 else 0.0
base['Is64Bit'] = 1.0 if base['Machine'] in (0x8664, 0xAA64, 0x0200) else 0.0
base['IsExe'] = 1.0 if pe.is_exe() else 0.0
base['IsDll'] = 1.0 if pe.is_dll() else 0.0
base['ExceptionCount'] = 0.0
if hasattr(pe, 'OPTIONAL_HEADER'):
op = pe.OPTIONAL_HEADER
fts['Magic'] = getattr(op, 'Magic', 0)
fts['MajorLinkerVersion'] = getattr(op, 'MajorLinkerVersion', 0)
fts['MinorLinkerVersion'] = getattr(op, 'MinorLinkerVersion', 0)
fts['SizeOfCode'] = getattr(op, 'SizeOfCode', 0)
fts['SizeOfInitializedData'] = getattr(op, 'SizeOfInitializedData', 0)
fts['SizeOfUninitializedData'] = getattr(op, 'SizeOfUninitializedData', 0)
fts['AddressOfEntryPoint'] = getattr(op, 'AddressOfEntryPoint', 0)
fts['BaseOfCode'] = getattr(op, 'BaseOfCode', 0)
fts['ImageBase'] = getattr(op, 'ImageBase', 0)
fts['SectionAlignment'] = getattr(op, 'SectionAlignment', 0)
fts['FileAlignment'] = getattr(op, 'FileAlignment', 0)
fts['MajorOperatingSystemVersion'] = getattr(op, 'MajorOperatingSystemVersion', 0)
fts['MinorOperatingSystemVersion'] = getattr(op, 'MinorOperatingSystemVersion', 0)
fts['MajorImageVersion'] = getattr(op, 'MajorImageVersion', 0)
fts['MinorImageVersion'] = getattr(op, 'MinorImageVersion', 0)
fts['MajorSubsystemVersion'] = getattr(op, 'MajorSubsystemVersion', 0)
fts['MinorSubsystemVersion'] = getattr(op, 'MinorSubsystemVersion', 0)
fts['SizeOfImage'] = getattr(op, 'SizeOfImage', 0)
fts['SizeOfHeaders'] = getattr(op, 'SizeOfHeaders', 0)
fts['CheckSum'] = getattr(op, 'CheckSum', 0)
fts['Subsystem'] = getattr(op, 'Subsystem', 0)
fts['DllCharacteristics'] = getattr(op, 'DllCharacteristics', 0)
fts['SizeOfStackReserve'] = getattr(op, 'SizeOfStackReserve', 0)
fts['SizeOfStackCommit'] = getattr(op, 'SizeOfStackCommit', 0)
fts['SizeOfHeapReserve'] = getattr(op, 'SizeOfHeapReserve', 0)
fts['SizeOfHeapCommit'] = getattr(op, 'SizeOfHeapCommit', 0)
fts['LoaderFlags'] = getattr(op, 'LoaderFlags', 0)
fts['NumberOfRvaAndSizes'] = getattr(op, 'NumberOfRvaAndSizes', 0)
fts['Is64Bit'] = 1 if fh.Machine in (0x8664, 0xAA64, 0x0200) else 0
fts['IsExe'] = 1 if pe.is_exe() else 0
fts['IsDll'] = 1 if pe.is_dll() else 0
fts['IsDriver'] = 1 if fts['Subsystem'] == 1 else 0
fields = [
'Magic', 'MajorLinkerVersion', 'MinorLinkerVersion', 'SizeOfCode',
'SizeOfInitializedData', 'SizeOfUninitializedData', 'AddressOfEntryPoint',
'BaseOfCode', 'ImageBase', 'SectionAlignment', 'FileAlignment',
'MajorOperatingSystemVersion', 'MinorOperatingSystemVersion',
'MajorImageVersion', 'MinorImageVersion', 'MajorSubsystemVersion',
'MinorSubsystemVersion', 'SizeOfImage', 'SizeOfHeaders', 'CheckSum',
'Subsystem', 'DllCharacteristics', 'SizeOfStackReserve', 'SizeOfStackCommit',
'SizeOfHeapReserve', 'SizeOfHeapCommit', 'LoaderFlags', 'NumberOfRvaAndSizes'
]
for f_field in fields:
base[f_field] = getattr(op, f_field, 0)
base['IsDriver'] = 1.0 if base.get('Subsystem') == 1 else 0.0
if hasattr(op, 'DATA_DIRECTORY'):
reloc_idx = pefile.DIRECTORY_ENTRY.get('IMAGE_DIRECTORY_ENTRY_BASERELOC', 5)
if len(op.DATA_DIRECTORY) > reloc_idx and op.DATA_DIRECTORY[reloc_idx].Size > 0:
fts['HasRelocationDirectory'] = 1
for i, directory in enumerate(op.DATA_DIRECTORY):
base[f'DataDirectory_{i}_Size'] = directory.Size
base[f'DataDirectory_{i}_VA'] = directory.VirtualAddress
exc_idx = pefile.DIRECTORY_ENTRY.get('IMAGE_DIRECTORY_ENTRY_EXCEPTION', 3)
if len(op.DATA_DIRECTORY) > exc_idx and op.DATA_DIRECTORY[exc_idx].Size > 0:
base['ExceptionCount'] = op.DATA_DIRECTORY[exc_idx].Size // 12 if base['Machine'] in (0x8664, 0xAA64) else 0.0
try:
fts['FileEntropy'] = self._calc_entropy(file_bytes)
except Exception:
pass
sec_entropies = []
text_entropies = []
data_entropies = []
rsrc_entropies = []
char_flags = [0x00000020, 0x00000040, 0x00000080, 0x02000000, 0x20000000, 0x40000000, 0x80000000]
for flag in char_flags:
base[f'Char_{flag:08X}_Count'] = 0.0
base[f'Char_{flag:08X}_MeanEntropy'] = 0.0
if hasattr(pe, 'sections'):
fts['SectionCount'] = len(pe.sections)
base['SectionCount'] = len(pe.sections)
entropies = []
raw_sizes = []
v_sizes = []
exec_sec = 0
write_sec = 0
read_sec = 0
sec_exc = 0
for section in pe.sections:
try:
name = section.Name.decode('ascii', 'ignore').strip('\x00')
except Exception:
name = ""
try:
try:
s_data = section.get_data()
s_entropy = self._calc_entropy(s_data)
except Exception:
s_data = b""
except Exception:
s_entropy = 0.0
sec_entropies.append(s_entropy)
if any(p in name.lower() for p in self.PACKERS): fts['HasPacked'] = 1
if section.Characteristics & 0x20000000: fts['ExecutableSections'] += 1
if section.Characteristics & 0x80000000: fts['WritableSections'] += 1
if section.Characteristics & 0x40000000: fts['ReadableSections'] += 1
if section.SizeOfRawData + section.PointerToRawData > fsize: fts['SectionException'] = 1
entropies.append(s_entropy)
raw_sizes.append(section.SizeOfRawData)
v_sizes.append(section.Misc_VirtualSize)
if section.Characteristics & 0x20000000: exec_sec += 1
if section.Characteristics & 0x80000000: write_sec += 1
if section.Characteristics & 0x40000000: read_sec += 1
if section.SizeOfRawData + section.PointerToRawData > fsize: sec_exc = 1
for flag in char_flags:
if section.Characteristics & flag:
fts[f'Char_{flag:08X}_Count'] += 1
fts[f'Char_{flag:08X}_MeanEntropy'] += s_entropy
base[f'Char_{flag:08X}_Count'] += 1.0
base[f'Char_{flag:08X}_MeanEntropy'] += s_entropy
ratio = self._safe_div(section.SizeOfRawData, fsize)
if name.startswith('.text'):
text_entropies.append(s_entropy)
fts['TextSizeRatio'] += ratio
elif name.startswith('.data'):
data_entropies.append(s_entropy)
fts['DataSizeRatio'] += ratio
elif name.startswith('.rsrc'):
rsrc_entropies.append(s_entropy)
fts['RsrcSizeRatio'] += ratio
if b"requireAdministrator" in s_data: fts['IsAdmin'] = 1
for sig in self.INSTALLER_SIGS:
if sig in s_data:
fts['IsInstall'] = 1
break
base['SectionMaxEntropy'] = max(entropies) if entropies else 0.0
base['SectionMinEntropy'] = min(entropies) if entropies else 0.0
base['SectionMeanEntropy'] = sum(entropies) / len(entropies) if entropies else 0.0
base['SectionMaxRawSize'] = max(raw_sizes) if raw_sizes else 0.0
base['SectionMinRawSize'] = min(raw_sizes) if raw_sizes else 0.0
base['SectionMeanRawSize'] = sum(raw_sizes) / len(raw_sizes) if raw_sizes else 0.0
base['SectionMaxVSize'] = max(v_sizes) if v_sizes else 0.0
base['SectionMinVSize'] = min(v_sizes) if v_sizes else 0.0
base['SectionMeanVSize'] = sum(v_sizes) / len(v_sizes) if v_sizes else 0.0
base['ExecutableSections'] = float(exec_sec)
base['WritableSections'] = float(write_sec)
base['ReadableSections'] = float(read_sec)
base['SectionException'] = float(sec_exc)
fts['SectionMeanEntropy'] = self._safe_div(sum(sec_entropies), len(sec_entropies))
fts['TextSectionMaxEntropy'] = max(text_entropies) if text_entropies else 0.0
fts['TextSectionMeanEntropy'] = self._safe_div(sum(text_entropies), len(text_entropies))
fts['DataSectionMaxEntropy'] = max(data_entropies) if data_entropies else 0.0
fts['DataSectionMeanEntropy'] = self._safe_div(sum(data_entropies), len(data_entropies))
fts['RsrcSectionMaxEntropy'] = max(rsrc_entropies) if rsrc_entropies else 0.0
fts['RsrcSectionMeanEntropy'] = self._safe_div(sum(rsrc_entropies), len(rsrc_entropies))
for flag in char_flags:
if base[f'Char_{flag:08X}_Count'] > 0:
base[f'Char_{flag:08X}_MeanEntropy'] = base[f'Char_{flag:08X}_MeanEntropy'] / base[f'Char_{flag:08X}_Count']
for flag in char_flags:
fts[f'Char_{flag:08X}_MeanEntropy'] = self._safe_div(fts[f'Char_{flag:08X}_MeanEntropy'], fts[f'Char_{flag:08X}_Count'])
string_keys = ['FileDescription', 'FileVersion', 'ProductName', 'ProductVersion', 'CompanyName', 'LegalCopyright', 'Comments', 'InternalName', 'LegalTrademarks', 'SpecialBuild', 'PrivateBuild']
for key in string_keys:
base[f'{key}Length'] = 0.0
if hasattr(pe, 'FileInfo'):
for fileinfo_list in pe.FileInfo:
for fileinfo in fileinfo_list:
if getattr(fileinfo, 'name', '') in ('StringFileInfo', b'StringFileInfo'):
for st in getattr(fileinfo, 'StringTable', []):
for key, val in st.entries.items():
try:
k = key.decode('utf-8', 'ignore') if isinstance(key, bytes) else str(key)
if k in string_keys:
v = val.decode('utf-8', 'ignore') if isinstance(val, bytes) else str(val)
base[f'{k}Length'] = float(len(v))
except Exception:
continue
try:
pe.parse_data_directories(directories=[
@@ -563,110 +460,96 @@ class pe_scanner:
if hasattr(pe, 'DIRECTORY_ENTRY_TLS') and hasattr(pe.DIRECTORY_ENTRY_TLS, 'struct'):
if getattr(pe.DIRECTORY_ENTRY_TLS.struct, 'AddressOfCallBacks', 0) != 0:
fts['HasTlsCallbacks'] = 1
base['HasTlsCallbacks'] = 1.0
if hasattr(pe, 'VS_FIXEDFILEINFO') and len(pe.VS_FIXEDFILEINFO) > 0:
flags = getattr(pe.VS_FIXEDFILEINFO[0], 'FileFlags', 0)
fts['IsDebug'] = 1 if flags & 0x1 else 0
fts['IsPreRelease'] = 1 if flags & 0x2 else 0
fts['IsPatched'] = 1 if flags & 0x4 else 0
fts['IsPrivateBuild'] = 1 if flags & 0x8 else 0
fts['IsSpecialBuild'] = 1 if flags & 0x20 else 0
if hasattr(pe, 'FileInfo'):
for fileinfo_list in pe.FileInfo:
for fileinfo in fileinfo_list:
if getattr(fileinfo, 'name', '') in ('StringFileInfo', b'StringFileInfo'):
for st in getattr(fileinfo, 'StringTable', []):
for key, val in st.entries.items():
try:
k = key.decode('utf-8', 'ignore') if isinstance(key, bytes) else str(key)
v = val.decode('utf-8', 'ignore') if isinstance(val, bytes) else str(val)
length = len(v)
if k == 'FileDescription': fts['FileDescriptionLength'] = length
elif k == 'FileVersion': fts['FileVersionLength'] = length
elif k == 'ProductName': fts['ProductNameLength'] = length
elif k == 'ProductVersion': fts['ProductVersionLength'] = length
elif k == 'CompanyName': fts['CompanyNameLength'] = length
elif k == 'LegalCopyright': fts['LegalCopyrightLength'] = length
elif k == 'Comments': fts['CommentsLength'] = length
elif k == 'InternalName': fts['InternalNameLength'] = length
elif k == 'LegalTrademarks': fts['LegalTrademarksLength'] = length
elif k == 'SpecialBuild': fts['SpecialBuildLength'] = length
elif k == 'PrivateBuild': fts['PrivateBuildLength'] = length
except Exception:
continue
base['IsDebug'] = 1.0 if flags & 0x1 else 0.0
base['IsPreRelease'] = 1.0 if flags & 0x2 else 0.0
base['IsPatched'] = 1.0 if flags & 0x4 else 0.0
base['IsPrivateBuild'] = 1.0 if flags & 0x8 else 0.0
base['IsSpecialBuild'] = 1.0 if flags & 0x20 else 0.0
if hasattr(pe, 'DIRECTORY_ENTRY_IMPORT'):
fts['ImportCount'] = len(pe.DIRECTORY_ENTRY_IMPORT)
base['ImportCount'] = float(len(pe.DIRECTORY_ENTRY_IMPORT))
func_count = 0
for entry in pe.DIRECTORY_ENTRY_IMPORT:
if getattr(entry, 'dll', None):
try:
dll_name = entry.dll.decode('ascii', 'ignore').lower()
if dll_name in self.TARGET_DLLS:
fts[f"Dll_{dll_name.replace('.', '_')}"] = 1.0
except Exception:
dlls.add(entry.dll.decode('ascii', 'ignore').lower())
except Exception:
pass
imports = getattr(entry, 'imports', [])
for imp in imports:
fts['ImportFunctionCount'] += 1
if not getattr(imp, 'name', None): continue
try:
func_name = imp.name.decode('ascii', 'ignore')
if func_name in self._ALL_APIS:
fts[f'Api_{func_name}'] += 1
fts['ApiCount'] += 1
for cat in self._API_TO_CATS.get(func_name, []):
fts[f'Cat_{cat}'] += 1
except Exception:
continue
for imp in getattr(entry, 'imports', []):
func_count += 1
if getattr(imp, 'name', None):
try:
apis.add(imp.name.decode('ascii', 'ignore'))
except Exception:
pass
base['ImportFunctionCount'] = float(func_count)
else:
base['ImportCount'] = 0.0
base['ImportFunctionCount'] = 0.0
if hasattr(pe, 'DIRECTORY_ENTRY_EXPORT') and hasattr(pe.DIRECTORY_ENTRY_EXPORT, 'symbols'):
fts['ExportCount'] = len(pe.DIRECTORY_ENTRY_EXPORT.symbols)
base['ExportCount'] = float(len(pe.DIRECTORY_ENTRY_EXPORT.symbols))
else:
base['ExportCount'] = 0.0
if hasattr(pe, 'DIRECTORY_ENTRY_RESOURCE'):
icon_count = 0
for entry in pe.DIRECTORY_ENTRY_RESOURCE.entries:
if getattr(entry, 'id', None) == 3 and hasattr(entry, 'directory'):
fts['IconCount'] += len(getattr(entry.directory, 'entries', []))
if hasattr(pe, 'OPTIONAL_HEADER') and hasattr(pe.OPTIONAL_HEADER, 'DATA_DIRECTORY') and len(pe.OPTIONAL_HEADER.DATA_DIRECTORY) > 3:
exc_dir = pe.OPTIONAL_HEADER.DATA_DIRECTORY[3]
if exc_dir.Size > 0:
fts['ExceptionCount'] = exc_dir.Size // 12 if fts['Machine'] in (0x8664, 0xAA64) else 0
if hasattr(pe, 'DIRECTORY_ENTRY_DEBUG'):
fts['DebugCount'] = len(pe.DIRECTORY_ENTRY_DEBUG)
icon_count += len(getattr(entry.directory, 'entries', []))
base['IconCount'] = float(icon_count)
else:
base['IconCount'] = 0.0
for k in fts:
fts[k] = self._safe_float(fts[k])
return fts
if hasattr(pe, 'DIRECTORY_ENTRY_DEBUG'):
base['DebugCount'] = float(len(pe.DIRECTORY_ENTRY_DEBUG))
else:
base['DebugCount'] = 0.0
base.update(self._extract_overlay_features(pe, fsize))
base.update(self._extract_rich_header(pe))
base.update(self._extract_ep_anomalies(pe))
base.update(self._extract_advanced_resources(pe))
base.update(self._extract_load_config(pe))
for k in base:
base[k] = self._safe_float(base[k])
return {"Base": base, "DLLs": list(dlls), "APIs": list(apis)}
except Exception:
return None
finally:
if pe:
if pe:
pe.close()
####################################################################################################
def pe_scan(self, file_path, enhanced_mode=False):
if not self.model:
if not self.model or not self.feature_order:
return False, False
try:
data = self.extract_features(file_path)
if not data:
raw_data = self.extract_features(file_path)
if not raw_data:
return False, False
vec_data = []
for key in self.feature_order:
if key:
vec_data.append(data.get(key, 0.0))
vec = numpy.zeros((1, len(self.feature_order)), dtype=numpy.float32)
base = raw_data.get('Base', {})
dlls = set(raw_data.get('DLLs', []))
apis = set(raw_data.get('APIs', []))
for i, feat in enumerate(self.feature_order):
if feat.startswith('Dll_'):
if feat[4:] in dlls:
vec[0, i] = 1.0
elif feat.startswith('Api_'):
if feat[4:] in apis:
vec[0, i] = 1.0
else:
vec_data.append(0.0)
vec[0, i] = base.get(feat, 0.0)
vec = numpy.array(vec_data, dtype=numpy.float32).reshape(1, -1)
outputs = self.model.run(None, {self.input_name: vec})
result = outputs[1]
prob = 0.0
@@ -675,7 +558,6 @@ class pe_scanner:
prob_dict = result[0]
if hasattr(prob_dict, 'get'):
prob = float(prob_dict.get(1, prob_dict.get('1', 0.0)))
elif isinstance(result, numpy.ndarray):
if result.ndim == 2 and result.shape[1] > 1:
prob = float(result[0][1])
@@ -742,7 +624,7 @@ class cloud_scanner:
r = self._request("POST", f"/api/rescan/{sha256}")
return r is not None and r.json().get('status') == 'success'
def upload_file(self, file_path, api_host, api_key, chunk_size=5242880):
def upload_file(self, file_path, api_host, api_key, chunk_size=5242880, need_rescan=False):
try:
self._init_session(api_host, api_key)
sha256 = self.calc_hash(file_path)
@@ -750,9 +632,16 @@ class cloud_scanner:
return False, None
status_req = self._request("GET", f"/api/processing_status/{sha256}")
if status_req and status_req.json().get('status') != 'missing':
self.rescan(sha256, api_host, api_key)
return True, sha256
if status_req:
status_data = status_req.json()
current_status = status_data.get('status')
if current_status == 'done':
if need_rescan:
self.rescan(sha256, api_host, api_key)
return True, sha256
elif current_status in ('queued', 'processing'):
return True, sha256
file_size = os.path.getsize(file_path)
if file_size > 104857600:
+1 -1
View File
@@ -2,7 +2,7 @@ import pyinstaller_versionfile
pyinstaller_versionfile.create_versionfile(
output_file="versionfile.txt",
version='3.5.1.0',
version='3.5.5.0',
company_name="PYAS Security",
file_description="PYAS Security Antivirus",
internal_name="PYAS",
+2 -2
View File
@@ -114,8 +114,8 @@ typedef struct _DRIVER_DATA {
PEPROCESS PyasProcess;
ULONG PyasPid;
LARGE_INTEGER Cookie;
FAST_MUTEX PortMutex;
FAST_MUTEX TrackerMutex;
KSPIN_LOCK PortMutex;
KSPIN_LOCK TrackerMutex;
EX_RUNDOWN_REF PortRundown;
} DRIVER_DATA, * PDRIVER_DATA;
+12 -6
View File
@@ -90,7 +90,8 @@ static NTSTATUS PortConnect(PFLT_PORT ClientPort, PVOID ServerPortCookie, PVOID
UNREFERENCED_PARAMETER(SizeOfContext);
UNREFERENCED_PARAMETER(ConnectionPortCookie);
ExAcquireFastMutex(&GlobalData.PortMutex);
KIRQL OldIrql;
KeAcquireSpinLock(&GlobalData.PortMutex, &OldIrql);
GlobalData.ClientPort = ClientPort;
GlobalData.PyasPid = (ULONG)(ULONG_PTR)PsGetCurrentProcessId();
@@ -98,7 +99,7 @@ static NTSTATUS PortConnect(PFLT_PORT ClientPort, PVOID ServerPortCookie, PVOID
ExReInitializeRundownProtection(&GlobalData.PortRundown);
ExReleaseFastMutex(&GlobalData.PortMutex);
KeReleaseSpinLock(&GlobalData.PortMutex, OldIrql);
return STATUS_SUCCESS;
}
@@ -106,9 +107,14 @@ static NTSTATUS PortConnect(PFLT_PORT ClientPort, PVOID ServerPortCookie, PVOID
static VOID PortDisconnect(PVOID ConnectionCookie) {
UNREFERENCED_PARAMETER(ConnectionCookie);
ExAcquireFastMutex(&GlobalData.PortMutex);
KIRQL OldIrql;
KeAcquireSpinLock(&GlobalData.PortMutex, &OldIrql);
GlobalData.ClientPort = NULL;
ExReleaseFastMutex(&GlobalData.PortMutex);
GlobalData.PyasPid = 0;
GlobalData.PyasProcess = NULL;
KeReleaseSpinLock(&GlobalData.PortMutex, OldIrql);
ExWaitForRundownProtectionRelease(&GlobalData.PortRundown);
}
@@ -147,8 +153,8 @@ extern "C" NTSTATUS DriverEntry(PDRIVER_OBJECT DriverObject, PUNICODE_STRING Reg
RtlZeroMemory(&GlobalData, sizeof(GlobalData));
GlobalData.DriverObject = DriverObject;
ExInitializeFastMutex(&GlobalData.PortMutex);
ExInitializeFastMutex(&GlobalData.TrackerMutex);
KeInitializeSpinLock(&GlobalData.PortMutex);
KeInitializeSpinLock(&GlobalData.TrackerMutex);
ExInitializeRundownProtection(&GlobalData.PortRundown);
+5 -6
View File
@@ -199,6 +199,7 @@ FLT_PREOP_CALLBACK_STATUS ProtectFile_PreWrite(PFLT_CALLBACK_DATA Data, PCFLT_RE
UNREFERENCED_PARAMETER(FltObjects);
if (Data->RequestorMode == KernelMode) return FLT_PREOP_SUCCESS_NO_CALLBACK;
if (KeGetCurrentIrql() > APC_LEVEL) return FLT_PREOP_SUCCESS_NO_CALLBACK;
if (Data->Iopb->IrpFlags & (IRP_PAGING_IO | IRP_SYNCHRONOUS_PAGING_IO | IRP_NOCACHE)) {
return FLT_PREOP_SUCCESS_NO_CALLBACK;
@@ -235,12 +236,10 @@ FLT_PREOP_CALLBACK_STATUS ProtectFile_PreWrite(PFLT_CALLBACK_DATA Data, PCFLT_RE
SystemBuffer = MmGetSystemAddressForMdlSafe(Mdl, NormalPagePriority | MdlMappingNoExecute);
}
if (SystemBuffer) {
if (CheckRansomActivity(Pid, &nameInfo->Name, SystemBuffer, WriteLength, TRUE)) {
SendMessageToUser(5001, (ULONG)(ULONG_PTR)Pid, nameInfo->Name.Buffer, nameInfo->Name.Length);
Data->IoStatus.Status = STATUS_ACCESS_DENIED;
callbackStatus = FLT_PREOP_COMPLETE;
}
if (CheckRansomActivity(Pid, &nameInfo->Name, SystemBuffer, WriteLength, TRUE)) {
SendMessageToUser(5001, (ULONG)(ULONG_PTR)Pid, nameInfo->Name.Buffer, nameInfo->Name.Length);
Data->IoStatus.Status = STATUS_ACCESS_DENIED;
callbackStatus = FLT_PREOP_COMPLETE;
}
}
}
+38 -4
View File
@@ -34,6 +34,36 @@ VOID ImageLoadNotify(PUNICODE_STRING FullImageName, HANDLE ProcessId, PIMAGE_INF
}
}
static BOOLEAN IsCriticalSystemProcess(HANDLE ProcessId) {
if (ProcessId == (HANDLE)4) return TRUE;
if (KeGetCurrentIrql() != PASSIVE_LEVEL) return FALSE;
NTSTATUS status;
BOOLEAN isCritical = FALSE;
PEPROCESS Process = NULL;
PUNICODE_STRING imageFileName = NULL;
status = PsLookupProcessByProcessId(ProcessId, &Process);
if (!NT_SUCCESS(status)) return FALSE;
status = SeLocateProcessImageName(Process, &imageFileName);
if (NT_SUCCESS(status) && imageFileName && imageFileName->Buffer) {
if (WildcardMatch(L"*\\Windows\\System32\\csrss.exe", imageFileName->Buffer, imageFileName->Length) ||
WildcardMatch(L"*\\Windows\\System32\\lsass.exe", imageFileName->Buffer, imageFileName->Length) ||
WildcardMatch(L"*\\Windows\\System32\\services.exe", imageFileName->Buffer, imageFileName->Length) ||
WildcardMatch(L"*\\Windows\\System32\\wininit.exe", imageFileName->Buffer, imageFileName->Length) ||
WildcardMatch(L"*\\Windows\\System32\\smss.exe", imageFileName->Buffer, imageFileName->Length)) {
isCritical = TRUE;
}
ExFreePool(imageFileName);
}
ObDereferenceObject(Process);
return isCritical;
}
static BOOLEAN IsBlacklistedAdminTool(HANDLE ProcessId) {
if (KeGetCurrentIrql() != PASSIVE_LEVEL) return FALSE;
@@ -79,6 +109,8 @@ static OB_PREOP_CALLBACK_STATUS PreOpenProcess(PVOID RegistrationContext, POB_PR
if (SourcePid == (HANDLE)4) return OB_PREOP_SUCCESS;
if (IsTargetProtected(TargetPid)) {
if (IsCriticalSystemProcess(SourcePid)) return OB_PREOP_SUCCESS;
BOOLEAN bIsTrusted = IsProcessTrusted(SourcePid);
if (bIsTrusted) {
@@ -99,10 +131,10 @@ static OB_PREOP_CALLBACK_STATUS PreOpenProcess(PVOID RegistrationContext, POB_PR
PROCESS_SET_INFORMATION |
PROCESS_SET_QUOTA;
OperationInformation->Parameters->CreateHandleInformation.DesiredAccess &= ~DenyMask;
OperationInformation->Parameters->CreateHandleInformation.DesiredAccess &= (ACCESS_MASK)(~DenyMask);
if (OperationInformation->Operation == OB_OPERATION_HANDLE_DUPLICATE) {
OperationInformation->Parameters->DuplicateHandleInformation.DesiredAccess &= ~DenyMask;
OperationInformation->Parameters->DuplicateHandleInformation.DesiredAccess &= (ACCESS_MASK)(~DenyMask);
}
}
@@ -128,6 +160,8 @@ static OB_PREOP_CALLBACK_STATUS PreOpenThread(PVOID RegistrationContext, POB_PRE
if (SourcePid == (HANDLE)4) return OB_PREOP_SUCCESS;
if (IsTargetProtected(TargetPid)) {
if (IsCriticalSystemProcess(SourcePid)) return OB_PREOP_SUCCESS;
BOOLEAN bIsTrusted = IsProcessTrusted(SourcePid);
if (bIsTrusted) {
@@ -144,10 +178,10 @@ static OB_PREOP_CALLBACK_STATUS PreOpenThread(PVOID RegistrationContext, POB_PRE
THREAD_SET_INFORMATION |
THREAD_SET_THREAD_TOKEN;
OperationInformation->Parameters->CreateHandleInformation.DesiredAccess &= ~DenyMask;
OperationInformation->Parameters->CreateHandleInformation.DesiredAccess &= (ACCESS_MASK)(~DenyMask);
if (OperationInformation->Operation == OB_OPERATION_HANDLE_DUPLICATE) {
OperationInformation->Parameters->DuplicateHandleInformation.DesiredAccess &= ~DenyMask;
OperationInformation->Parameters->DuplicateHandleInformation.DesiredAccess &= (ACCESS_MASK)(~DenyMask);
}
}
+40 -36
View File
@@ -149,30 +149,32 @@ static NTSTATUS RegistryCallback(PVOID CallbackContext, PVOID Argument1, PVOID A
(Info->ValueName ? Info->ValueName->Length : 0) +
sizeof(WCHAR);
PWCHAR Buffer = (PWCHAR)PyasAllocate(FullSize);
if (Buffer) {
UNICODE_STRING FullPath;
FullPath.Buffer = Buffer;
FullPath.Length = 0;
FullPath.MaximumLength = (USHORT)FullSize;
if (FullSize <= 0xFFFF) {
PWCHAR Buffer = (PWCHAR)PyasAllocate(FullSize);
if (Buffer) {
UNICODE_STRING FullPath;
FullPath.Buffer = Buffer;
FullPath.Length = 0;
FullPath.MaximumLength = (USHORT)FullSize;
RtlCopyUnicodeString(&FullPath, KeyName);
RtlCopyUnicodeString(&FullPath, KeyName);
if (Info->ValueName && Info->ValueName->Length > 0) {
if (FullPath.Length > 0 && FullPath.Buffer[(FullPath.Length / sizeof(WCHAR)) - 1] != L'\\') {
RtlAppendUnicodeToString(&FullPath, L"\\");
if (Info->ValueName && Info->ValueName->Length > 0) {
if (FullPath.Length > 0 && FullPath.Buffer[(FullPath.Length / sizeof(WCHAR)) - 1] != L'\\') {
RtlAppendUnicodeToString(&FullPath, L"\\");
}
RtlAppendUnicodeStringToString(&FullPath, Info->ValueName);
}
RtlAppendUnicodeStringToString(&FullPath, Info->ValueName);
}
if (CheckRegistryRule(&FullPath)) {
HANDLE Pid = PsGetCurrentProcessId();
if (!IsProcessTrusted(Pid)) {
SendMessageToUser(3001, (ULONG)(ULONG_PTR)Pid, FullPath.Buffer, FullPath.Length);
status = STATUS_ACCESS_DENIED;
if (CheckRegistryRule(&FullPath)) {
HANDLE Pid = PsGetCurrentProcessId();
if (!IsProcessTrusted(Pid)) {
SendMessageToUser(3001, (ULONG)(ULONG_PTR)Pid, FullPath.Buffer, FullPath.Length);
status = STATUS_ACCESS_DENIED;
}
}
PyasFree(Buffer);
}
PyasFree(Buffer);
}
}
}
@@ -194,30 +196,32 @@ static NTSTATUS RegistryCallback(PVOID CallbackContext, PVOID Argument1, PVOID A
(Info->ValueName ? Info->ValueName->Length : 0) +
sizeof(WCHAR);
PWCHAR Buffer = (PWCHAR)PyasAllocate(FullSize);
if (Buffer) {
UNICODE_STRING FullPath;
FullPath.Buffer = Buffer;
FullPath.Length = 0;
FullPath.MaximumLength = (USHORT)FullSize;
if (FullSize <= 0xFFFF) {
PWCHAR Buffer = (PWCHAR)PyasAllocate(FullSize);
if (Buffer) {
UNICODE_STRING FullPath;
FullPath.Buffer = Buffer;
FullPath.Length = 0;
FullPath.MaximumLength = (USHORT)FullSize;
RtlCopyUnicodeString(&FullPath, KeyName);
RtlCopyUnicodeString(&FullPath, KeyName);
if (Info->ValueName && Info->ValueName->Length > 0) {
if (FullPath.Length > 0 && FullPath.Buffer[(FullPath.Length / sizeof(WCHAR)) - 1] != L'\\') {
RtlAppendUnicodeToString(&FullPath, L"\\");
if (Info->ValueName && Info->ValueName->Length > 0) {
if (FullPath.Length > 0 && FullPath.Buffer[(FullPath.Length / sizeof(WCHAR)) - 1] != L'\\') {
RtlAppendUnicodeToString(&FullPath, L"\\");
}
RtlAppendUnicodeStringToString(&FullPath, Info->ValueName);
}
RtlAppendUnicodeStringToString(&FullPath, Info->ValueName);
}
if (CheckRegistryRule(&FullPath)) {
HANDLE Pid = PsGetCurrentProcessId();
if (!IsProcessTrusted(Pid)) {
SendMessageToUser(3001, (ULONG)(ULONG_PTR)Pid, FullPath.Buffer, FullPath.Length);
status = STATUS_ACCESS_DENIED;
if (CheckRegistryRule(&FullPath)) {
HANDLE Pid = PsGetCurrentProcessId();
if (!IsProcessTrusted(Pid)) {
SendMessageToUser(3001, (ULONG)(ULONG_PTR)Pid, FullPath.Buffer, FullPath.Length);
status = STATUS_ACCESS_DENIED;
}
}
PyasFree(Buffer);
}
PyasFree(Buffer);
}
}
}
+169 -96
View File
@@ -10,19 +10,21 @@ constexpr auto TRUST_CACHE_TTL_SEC = 300;
typedef struct _RANSOM_TRACKER {
PEPROCESS Process;
LARGE_INTEGER ProcessCreateTime;
ULONG ActivityCount;
LARGE_INTEGER LastActivityTime;
} RANSOM_TRACKER, * PRANSOM_TRACKER;
typedef struct _TRUST_CACHE_ENTRY {
PEPROCESS Process;
LARGE_INTEGER ProcessCreateTime;
BOOLEAN IsTrusted;
LARGE_INTEGER CacheTime;
} TRUST_CACHE_ENTRY, * PTRUST_CACHE_ENTRY;
static RANSOM_TRACKER RansomTrackers[MAX_TRACKERS];
static TRUST_CACHE_ENTRY TrustCache[TRUST_CACHE_SIZE];
static FAST_MUTEX TrustCacheLock;
static KSPIN_LOCK TrustCacheLock;
static BOOLEAN g_CacheInitialized = FALSE;
static ERESOURCE RuleLock;
@@ -107,7 +109,7 @@ static BOOLEAN HasSuffix(PCUNICODE_STRING String, PCWSTR Suffix) {
}
BOOLEAN WildcardMatch(PCWSTR Pattern, PCWSTR String, USHORT StringLengthBytes) {
if (!Pattern || !String) return FALSE;
if (Pattern == NULL || String == NULL) return FALSE;
USHORT StringLenChars = StringLengthBytes / sizeof(WCHAR);
PCWSTR mp = NULL;
@@ -123,7 +125,7 @@ BOOLEAN WildcardMatch(PCWSTR Pattern, PCWSTR String, USHORT StringLengthBytes) {
Pattern++;
String++;
}
else if (mp) {
else if (mp != NULL) {
Pattern = mp;
String = cp++;
}
@@ -134,7 +136,8 @@ BOOLEAN WildcardMatch(PCWSTR Pattern, PCWSTR String, USHORT StringLengthBytes) {
while (*Pattern == L'*') {
Pattern++;
}
return !*Pattern;
return (*Pattern == L'\0') ? TRUE : FALSE;
}
static ULONG ProcessJsonUnescape(PWCHAR Buffer, ULONG LengthChars) {
@@ -202,17 +205,23 @@ static VOID ParseAndLoadRules(PCHAR JsonContent, ULONG ContentLength, PCSTR KeyN
while (Ptr < End) {
SkipWhitespace(&Ptr, End);
if (Ptr >= End) break;
if (*Ptr == ']') {
Ptr++;
if (Ptr >= End || *Ptr == ']') {
if (Ptr < End) Ptr++;
return;
}
if (*Ptr == '"') {
PCHAR StartQuote = ++Ptr;
BOOLEAN Escaped = FALSE;
while (Ptr < End) {
if (*Ptr == '"' && *(Ptr - 1) != '\\') break;
if (*Ptr == '"' && Escaped == FALSE) break;
if (*Ptr == '\\') {
Escaped = (Escaped == FALSE) ? TRUE : FALSE;
}
else {
Escaped = FALSE;
}
Ptr++;
}
@@ -242,9 +251,6 @@ static VOID ParseAndLoadRules(PCHAR JsonContent, ULONG ContentLength, PCSTR KeyN
Ptr++;
}
}
else if (*Ptr == ',') {
Ptr++;
}
else {
Ptr++;
}
@@ -259,7 +265,7 @@ static VOID ParseAndLoadRules(PCHAR JsonContent, ULONG ContentLength, PCSTR KeyN
VOID InitializeRulesEngine() {
ExInitializeResourceLite(&RuleLock);
ExInitializeFastMutex(&TrustCacheLock);
KeInitializeSpinLock(&TrustCacheLock);
RtlZeroMemory(TrustCache, sizeof(TrustCache));
g_CacheInitialized = TRUE;
}
@@ -298,25 +304,33 @@ static VOID RemoveRule(PRULE_NODE* Head, PUNICODE_STRING RuleStr) {
}
VOID AddDynamicWhitelist(PUNICODE_STRING RuleStr) {
KeEnterCriticalRegion();
ExAcquireResourceExclusiveLite(&RuleLock, TRUE);
AddRule(&g_ProcessTrustedPaths, RuleStr);
AddRule(&g_FileExceptionPaths, RuleStr);
ExAcquireFastMutex(&TrustCacheLock);
KIRQL OldIrql;
KeAcquireSpinLock(&TrustCacheLock, &OldIrql);
RtlZeroMemory(TrustCache, sizeof(TrustCache));
ExReleaseFastMutex(&TrustCacheLock);
KeReleaseSpinLock(&TrustCacheLock, OldIrql);
ExReleaseResourceLite(&RuleLock);
KeLeaveCriticalRegion();
}
VOID RemoveDynamicWhitelist(PUNICODE_STRING RuleStr) {
KeEnterCriticalRegion();
ExAcquireResourceExclusiveLite(&RuleLock, TRUE);
RemoveRule(&g_ProcessTrustedPaths, RuleStr);
RemoveRule(&g_FileExceptionPaths, RuleStr);
ExAcquireFastMutex(&TrustCacheLock);
KIRQL OldIrql;
KeAcquireSpinLock(&TrustCacheLock, &OldIrql);
RtlZeroMemory(TrustCache, sizeof(TrustCache));
ExReleaseFastMutex(&TrustCacheLock);
KeReleaseSpinLock(&TrustCacheLock, OldIrql);
ExReleaseResourceLite(&RuleLock);
KeLeaveCriticalRegion();
}
NTSTATUS LoadRulesFromDisk(PUNICODE_STRING RegistryPath) {
@@ -359,58 +373,58 @@ NTSTATUS LoadRulesFromDisk(PUNICODE_STRING RegistryPath) {
}
if (Info->Type == REG_EXPAND_SZ || Info->Type == REG_SZ) {
PathBufferSize = ResultLength + 1024;
PathBufferSize = Info->DataLength + 1024;
PathBuffer = (PWCHAR)PyasAllocate(PathBufferSize);
if (PathBuffer) {
RtlZeroMemory(PathBuffer, PathBufferSize);
PWCHAR Src = (PWCHAR)Info->Data;
if (Info->DataLength > 0) {
RtlCopyMemory(PathBuffer, Info->Data, Info->DataLength);
}
if (NT_SUCCESS(RtlStringCbCopyW(PathBuffer, PathBufferSize, Src))) {
PWCHAR LastSlash = NULL;
PWCHAR Current = PathBuffer;
while (*Current) {
if (*Current == L'\\') LastSlash = Current;
Current++;
}
PWCHAR LastSlash = NULL;
PWCHAR Current = PathBuffer;
while (*Current) {
if (*Current == L'\\') LastSlash = Current;
Current++;
}
if (LastSlash) {
*LastSlash = L'\0';
if (LastSlash) {
*LastSlash = L'\0';
SIZE_T CurrentPathLen = wcslen(PathBuffer);
const WCHAR FilterSuffix[] = L"\\Filter";
SIZE_T FilterLen = (sizeof(FilterSuffix) / sizeof(WCHAR)) - 1;
SIZE_T CurrentPathLen = wcslen(PathBuffer);
const WCHAR FilterSuffix[] = L"\\Filter";
SIZE_T FilterLen = (sizeof(FilterSuffix) / sizeof(WCHAR)) - 1;
if (CurrentPathLen >= FilterLen) {
PWCHAR SuffixStart = PathBuffer + CurrentPathLen - FilterLen;
BOOLEAN Match = TRUE;
for (SIZE_T i = 0; i < FilterLen; i++) {
if (RtlDowncaseUnicodeChar(SuffixStart[i]) != RtlDowncaseUnicodeChar(FilterSuffix[i])) {
Match = FALSE;
break;
}
}
if (Match) {
*SuffixStart = L'\0';
if (CurrentPathLen >= FilterLen) {
PWCHAR SuffixStart = PathBuffer + CurrentPathLen - FilterLen;
BOOLEAN Match = TRUE;
for (SIZE_T i = 0; i < FilterLen; i++) {
if (RtlDowncaseUnicodeChar(SuffixStart[i]) != RtlDowncaseUnicodeChar(FilterSuffix[i])) {
Match = FALSE;
break;
}
}
RtlStringCbCatW(PathBuffer, PathBufferSize, L"\\Rules\\Rules_Driver_P1.json");
if (wcsncmp(PathBuffer, L"\\??\\", 4) != 0 &&
wcsncmp(PathBuffer, L"\\SystemRoot", 11) != 0 &&
wcsncmp(PathBuffer, L"\\DosDevices\\", 12) != 0) {
PWCHAR TmpBuffer = (PWCHAR)PyasAllocate(PathBufferSize + 16);
if (TmpBuffer) {
RtlStringCbCopyW(TmpBuffer, PathBufferSize + 16, L"\\??\\");
RtlStringCbCatW(TmpBuffer, PathBufferSize + 16, PathBuffer);
PyasFree(PathBuffer);
PathBuffer = TmpBuffer;
}
if (Match) {
*SuffixStart = L'\0';
}
RtlInitUnicodeString(&FinalPath, PathBuffer);
}
RtlStringCbCatW(PathBuffer, PathBufferSize, L"\\Rules\\Rules_Driver_P1.json");
if (wcsncmp(PathBuffer, L"\\??\\", 4) != 0 &&
wcsncmp(PathBuffer, L"\\SystemRoot", 11) != 0 &&
wcsncmp(PathBuffer, L"\\DosDevices\\", 12) != 0) {
PWCHAR TmpBuffer = (PWCHAR)PyasAllocate(PathBufferSize + 16);
if (TmpBuffer) {
RtlStringCbCopyW(TmpBuffer, PathBufferSize + 16, L"\\??\\");
RtlStringCbCatW(TmpBuffer, PathBufferSize + 16, PathBuffer);
PyasFree(PathBuffer);
PathBuffer = TmpBuffer;
}
}
RtlInitUnicodeString(&FinalPath, PathBuffer);
}
}
}
@@ -435,6 +449,7 @@ NTSTATUS LoadRulesFromDisk(PUNICODE_STRING RegistryPath) {
if (NT_SUCCESS(status)) {
((PCHAR)FileBuffer)[FileInfo.EndOfFile.LowPart] = '\0';
KeEnterCriticalRegion();
ExAcquireResourceExclusiveLite(&RuleLock, TRUE);
ParseAndLoadRules((PCHAR)FileBuffer, FileInfo.EndOfFile.LowPart, "Rule_Registry_BlockList", &g_RegistryBlockList);
ParseAndLoadRules((PCHAR)FileBuffer, FileInfo.EndOfFile.LowPart, "Rule_Registry_TrustedList", &g_RegistryTrustedList);
@@ -444,6 +459,7 @@ NTSTATUS LoadRulesFromDisk(PUNICODE_STRING RegistryPath) {
ParseAndLoadRules((PCHAR)FileBuffer, FileInfo.EndOfFile.LowPart, "Rule_File_ExceptionPaths", &g_FileExceptionPaths);
ParseAndLoadRules((PCHAR)FileBuffer, FileInfo.EndOfFile.LowPart, "Rule_File_RansomwareExtensions", &g_FileRansomExts);
ExReleaseResourceLite(&RuleLock);
KeLeaveCriticalRegion();
}
PyasFree(FileBuffer);
}
@@ -456,6 +472,7 @@ NTSTATUS LoadRulesFromDisk(PUNICODE_STRING RegistryPath) {
}
VOID UnloadRules() {
KeEnterCriticalRegion();
ExAcquireResourceExclusiveLite(&RuleLock, TRUE);
FreeList(&g_RegistryBlockList);
FreeList(&g_RegistryTrustedList);
@@ -465,9 +482,14 @@ VOID UnloadRules() {
FreeList(&g_FileExceptionPaths);
FreeList(&g_FileRansomExts);
ExReleaseResourceLite(&RuleLock);
KeLeaveCriticalRegion();
}
NTSTATUS GetProcessImageName(HANDLE ProcessId, PUNICODE_STRING* ImageName) {
if (KeGetCurrentIrql() != PASSIVE_LEVEL) {
return STATUS_UNSUCCESSFUL;
}
NTSTATUS status;
PEPROCESS Process = NULL;
@@ -492,33 +514,42 @@ BOOLEAN IsProcessTrusted(HANDLE ProcessId) {
if ((ULONG)(ULONG_PTR)ProcessId == GlobalData.PyasPid) return TRUE;
if (ProcessId == (HANDLE)4) return TRUE;
if (KeGetCurrentIrql() != PASSIVE_LEVEL) return FALSE;
PEPROCESS Process = NULL;
if (!NT_SUCCESS(PsLookupProcessByProcessId(ProcessId, &Process))) {
return FALSE;
}
LARGE_INTEGER createTime;
createTime.QuadPart = PsGetProcessCreateTimeQuadPart(Process);
if (g_CacheInitialized) {
ExAcquireFastMutex(&TrustCacheLock);
KIRQL OldIrql;
KeAcquireSpinLock(&TrustCacheLock, &OldIrql);
ULONG Hash = ((ULONG)(ULONG_PTR)ProcessId) & (TRUST_CACHE_SIZE - 1);
if (TrustCache[Hash].Process == Process) {
if (TrustCache[Hash].Process == Process && TrustCache[Hash].ProcessCreateTime.QuadPart == createTime.QuadPart) {
LARGE_INTEGER Now;
KeQuerySystemTime(&Now);
if ((Now.QuadPart - TrustCache[Hash].CacheTime.QuadPart) < (TRUST_CACHE_TTL_SEC * 10000000LL)) {
BOOLEAN cachedResult = TrustCache[Hash].IsTrusted;
ExReleaseFastMutex(&TrustCacheLock);
KeReleaseSpinLock(&TrustCacheLock, OldIrql);
ObDereferenceObject(Process);
return cachedResult;
}
}
ExReleaseFastMutex(&TrustCacheLock);
KeReleaseSpinLock(&TrustCacheLock, OldIrql);
}
if (KeGetCurrentIrql() != PASSIVE_LEVEL) {
ObDereferenceObject(Process);
return FALSE;
}
PUNICODE_STRING imageFileName = NULL;
NTSTATUS status = GetProcessImageName(ProcessId, &imageFileName);
BOOLEAN isTrusted = FALSE;
KeEnterCriticalRegion();
ExAcquireResourceSharedLite(&RuleLock, TRUE);
if (NT_SUCCESS(status) && imageFileName && imageFileName->Buffer) {
@@ -547,15 +578,18 @@ BOOLEAN IsProcessTrusted(HANDLE ProcessId) {
update_cache:
if (g_CacheInitialized) {
ExAcquireFastMutex(&TrustCacheLock);
KIRQL OldIrql;
KeAcquireSpinLock(&TrustCacheLock, &OldIrql);
ULONG Hash = ((ULONG)(ULONG_PTR)ProcessId) & (TRUST_CACHE_SIZE - 1);
TrustCache[Hash].Process = Process;
TrustCache[Hash].ProcessCreateTime = createTime;
TrustCache[Hash].IsTrusted = isTrusted;
KeQuerySystemTime(&TrustCache[Hash].CacheTime);
ExReleaseFastMutex(&TrustCacheLock);
KeReleaseSpinLock(&TrustCacheLock, OldIrql);
}
ExReleaseResourceLite(&RuleLock);
KeLeaveCriticalRegion();
if (imageFileName) ExFreePool(imageFileName);
ObDereferenceObject(Process);
@@ -575,12 +609,14 @@ BOOLEAN CheckRegistryRule(PCUNICODE_STRING KeyName) {
return FALSE;
}
KeEnterCriticalRegion();
ExAcquireResourceSharedLite(&RuleLock, TRUE);
PRULE_NODE AllowNode = g_RegistryTrustedList;
while (AllowNode) {
if (WildcardMatch(AllowNode->Pattern.Buffer, KeyName->Buffer, KeyName->Length)) {
ExReleaseResourceLite(&RuleLock);
KeLeaveCriticalRegion();
return FALSE;
}
AllowNode = AllowNode->Next;
@@ -596,18 +632,21 @@ BOOLEAN CheckRegistryRule(PCUNICODE_STRING KeyName) {
Node = Node->Next;
}
ExReleaseResourceLite(&RuleLock);
KeLeaveCriticalRegion();
return Match;
}
BOOLEAN CheckFileExtensionRule(PCUNICODE_STRING FileName) {
if (!FileName || !FileName->Buffer) return FALSE;
KeEnterCriticalRegion();
ExAcquireResourceSharedLite(&RuleLock, TRUE);
PRULE_NODE ExNode = g_FileExceptionPaths;
while (ExNode) {
if (WildcardMatch(ExNode->Pattern.Buffer, FileName->Buffer, FileName->Length)) {
ExReleaseResourceLite(&RuleLock);
KeLeaveCriticalRegion();
return FALSE;
}
ExNode = ExNode->Next;
@@ -623,6 +662,7 @@ BOOLEAN CheckFileExtensionRule(PCUNICODE_STRING FileName) {
Node = Node->Next;
}
ExReleaseResourceLite(&RuleLock);
KeLeaveCriticalRegion();
return Match;
}
@@ -633,12 +673,14 @@ BOOLEAN CheckProtectedPathRule(PCUNICODE_STRING FileName) {
return FALSE;
}
KeEnterCriticalRegion();
ExAcquireResourceSharedLite(&RuleLock, TRUE);
PRULE_NODE ExNode = g_FileExceptionPaths;
while (ExNode) {
if (WildcardMatch(ExNode->Pattern.Buffer, FileName->Buffer, FileName->Length)) {
ExReleaseResourceLite(&RuleLock);
KeLeaveCriticalRegion();
return FALSE;
}
ExNode = ExNode->Next;
@@ -654,13 +696,16 @@ BOOLEAN CheckProtectedPathRule(PCUNICODE_STRING FileName) {
Node = Node->Next;
}
ExReleaseResourceLite(&RuleLock);
KeLeaveCriticalRegion();
return Match;
}
static BOOLEAN IsHighEntropy(PVOID Buffer, ULONG Length) {
if (!Buffer || Length < 256) return FALSE;
ULONG Histogram[256] = { 0 };
PUSHORT Histogram = (PUSHORT)PyasAllocate(256 * sizeof(USHORT));
if (!Histogram) return FALSE;
PUCHAR Ptr = (PUCHAR)Buffer;
ULONG ScanLen = (Length > 1024) ? 1024 : Length;
@@ -670,16 +715,20 @@ static BOOLEAN IsHighEntropy(PVOID Buffer, ULONG Length) {
}
}
__except (EXCEPTION_EXECUTE_HANDLER) {
PyasFree(Histogram);
return FALSE;
}
ULONG MaxFreq = 0;
USHORT MaxFreq = 0;
for (int i = 0; i < 256; i++) {
if (Histogram[i] > MaxFreq) MaxFreq = Histogram[i];
}
ULONG ExpectedAvg = ScanLen / 256;
return (MaxFreq < (ExpectedAvg + HIGH_ENTROPY_THRESHOLD));
BOOLEAN Result = (MaxFreq < (ExpectedAvg + HIGH_ENTROPY_THRESHOLD));
PyasFree(Histogram);
return Result;
}
static BOOLEAN IsNaturallyCompressed(PCUNICODE_STRING FileName) {
@@ -713,14 +762,19 @@ static BOOLEAN IsUserDirectoryPath(PCUNICODE_STRING FileName) {
}
static BOOLEAN IsExplorerProcess(HANDLE ProcessId) {
if (KeGetCurrentIrql() != PASSIVE_LEVEL) return FALSE;
if (KeGetCurrentIrql() > APC_LEVEL) return FALSE;
PUNICODE_STRING imageFileName = NULL;
NTSTATUS status = GetProcessImageName(ProcessId, &imageFileName);
BOOLEAN isExplorer = FALSE;
if (NT_SUCCESS(status) && imageFileName && imageFileName->Buffer) {
if (HasSuffix(imageFileName, L"\\explorer.exe")) isExplorer = TRUE;
if (NT_SUCCESS(status) && imageFileName) {
if (imageFileName->Buffer && HasSuffix(imageFileName, L"\\explorer.exe")) {
isExplorer = TRUE;
}
ExFreePool(imageFileName);
}
return isExplorer;
}
@@ -755,9 +809,12 @@ BOOLEAN CheckRansomActivity(HANDLE ProcessId, PUNICODE_STRING FileName, PVOID Wr
LARGE_INTEGER Now = { 0 };
KeQuerySystemTime(&Now);
LARGE_INTEGER createTime;
createTime.QuadPart = PsGetProcessCreateTimeQuadPart(Process);
BOOLEAN Result = FALSE;
ExAcquireFastMutex(&GlobalData.TrackerMutex);
KIRQL OldIrql;
KeAcquireSpinLock(&GlobalData.TrackerMutex, &OldIrql);
PRANSOM_TRACKER Tracker = NULL;
PRANSOM_TRACKER CandidateSlot = NULL;
@@ -770,7 +827,7 @@ BOOLEAN CheckRansomActivity(HANDLE ProcessId, PUNICODE_STRING FileName, PVOID Wr
LruSlot = Current;
}
if (Current->Process == Process) {
if (Current->Process == Process && Current->ProcessCreateTime.QuadPart == createTime.QuadPart) {
Tracker = Current;
break;
}
@@ -798,6 +855,7 @@ BOOLEAN CheckRansomActivity(HANDLE ProcessId, PUNICODE_STRING FileName, PVOID Wr
}
Tracker->Process = Process;
Tracker->ProcessCreateTime = createTime;
Tracker->ActivityCount = 0;
Tracker->LastActivityTime = Now;
}
@@ -817,7 +875,8 @@ BOOLEAN CheckRansomActivity(HANDLE ProcessId, PUNICODE_STRING FileName, PVOID Wr
if (Tracker->ActivityCount >= RANSOM_COUNT_THRESHOLD) {
Result = TRUE;
}
ExReleaseFastMutex(&GlobalData.TrackerMutex);
KeReleaseSpinLock(&GlobalData.TrackerMutex, OldIrql);
ObDereferenceObject(Process);
return Result;
}
@@ -825,34 +884,48 @@ BOOLEAN CheckRansomActivity(HANDLE ProcessId, PUNICODE_STRING FileName, PVOID Wr
NTSTATUS SendMessageToUser(ULONG Code, ULONG Pid, PWCHAR Path, USHORT PathSize) {
if (KeGetCurrentIrql() > APC_LEVEL) return STATUS_UNSUCCESSFUL;
PYAS_MESSAGE msg;
RtlZeroMemory(&msg, sizeof(msg));
msg.MessageCode = Code;
msg.ProcessId = Pid;
if (Path && PathSize > 0) {
size_t MaxSize = sizeof(msg.Path) - sizeof(WCHAR);
size_t BytesToCopy = PathSize;
if (BytesToCopy > MaxSize) BytesToCopy = MaxSize;
__try {
RtlCopyMemory(msg.Path, Path, BytesToCopy);
msg.Path[BytesToCopy / sizeof(WCHAR)] = L'\0';
}
__except (EXCEPTION_EXECUTE_HANDLER) {
return STATUS_ACCESS_VIOLATION;
}
}
if (!ExAcquireRundownProtection(&GlobalData.PortRundown)) {
return STATUS_PORT_DISCONNECTED;
}
NTSTATUS status = STATUS_PORT_DISCONNECTED;
if (GlobalData.ClientPort) {
LARGE_INTEGER timeout;
timeout.QuadPart = -(5 * 10000);
status = FltSendMessage(GlobalData.FilterHandle, &GlobalData.ClientPort, &msg, sizeof(msg), NULL, NULL, &timeout);
PPYAS_MESSAGE msg = (PPYAS_MESSAGE)PyasAllocate(sizeof(PYAS_MESSAGE));
if (msg) {
msg->MessageCode = Code;
msg->ProcessId = Pid;
if (Path && PathSize > 0) {
size_t MaxSize = sizeof(msg->Path) - sizeof(WCHAR);
size_t BytesToCopy = PathSize > MaxSize ? MaxSize : PathSize;
__try {
RtlCopyMemory(msg->Path, Path, BytesToCopy);
msg->Path[BytesToCopy / sizeof(WCHAR)] = L'\0';
}
__except (EXCEPTION_EXECUTE_HANDLER) {
PyasFree(msg);
ExReleaseRundownProtection(&GlobalData.PortRundown);
return STATUS_ACCESS_VIOLATION;
}
}
LARGE_INTEGER timeout;
if (KeGetCurrentIrql() == PASSIVE_LEVEL) {
timeout.QuadPart = -(5 * 10000);
}
else {
timeout.QuadPart = 0;
}
status = FltSendMessage(GlobalData.FilterHandle, &GlobalData.ClientPort, msg, sizeof(PYAS_MESSAGE), NULL, NULL, &timeout);
PyasFree(msg);
}
else {
status = STATUS_INSUFFICIENT_RESOURCES;
}
}
ExReleaseRundownProtection(&GlobalData.PortRundown);
+16 -5
View File
@@ -2,7 +2,6 @@
"Rule_Registry_BlockList": [
"\\REGISTRY\\MACHINE\\BCD00000000",
"\\REGISTRY\\MACHINE\\BCD00000000\\*",
"*\\Image File Execution Options\\*",
"*\\Classes\\.exe",
"*\\Classes\\.bat",
@@ -47,7 +46,6 @@
"*\\DisableTaskMgr",
"*\\DisableRegistryTools",
"*\\DisableChangePassword",
"*\\Wallpaper",
"*\\NoComponents",
"*\\NoStartMenuMorePrograms",
"*\\NoActiveDesktop",
@@ -79,12 +77,10 @@
"*\\FirmwareBootDevice",
"*\\BootDriverFlags",
"*\\SystemStartOptions",
"*\\CrashDumpEnabled",
"*\\DisableAutomaticRestartOnFailure",
"*\\SystemBiosVersion",
"*\\NoTheme",
"*\\SystemSetupInProgress",
"*\\CmdLine",
"*\\SetupType",
"*\\AutoReboot",
"*\\Userinit",
@@ -107,24 +103,38 @@
"\\Device\\HarddiskVolume*\\ProgramData\\Microsoft\\Windows Defender\\*",
"\\Device\\HarddiskVolume*\\ProgramData\\Microsoft\\Windows Defender Advanced Threat Protection\\*",
"*\\Sources\\SetupHost.exe",
"*\\Work\\*\\DismHost.exe",
"*\\Google\\Chrome\\Application\\chrome.exe",
"*\\Microsoft\\Edge\\Application\\msedge.exe",
"*\\Mozilla Firefox\\firefox.exe",
"*\\Thorium\\Application\\thorium.exe",
"*\\Steam\\steam.exe",
"*\\steam\\*\\steam.exe",
"*\\Battle.net\\*\\Battle.net.exe",
"*\\Epic Games\\Launcher\\Portal\\Binaries\\*\\EpicGamesLauncher.exe",
"*\\resources\\bin\\SDK\\DownloadSDKServer.exe",
"*\\ThunderEv.exe",
"*\\ThunderStart.exe",
"*\\resources\\bin\\SDK\\DownloadSDKServer.exe",
"*\\KuGou.exe",
"*\\XLGame.exe",
"*\\XLLiveUD.exe",
"*\\hrkill-*.exe",
"*\\bin\\HipsDaemon.exe",
"*\\360Safe.exe",
"*\\bilibili\\bilibili.exe",
"*\\Kingsoft\\WPS Office\\ksolaunch.exe",
"*\\Kingsoft\\WPS Office\\*\\wps.exe",
"*\\PC4399_WPFLauncher.exe",
"*\\bin\\APlayer.exe",
"*\\Neverness To Everness\\NTELauncher.exe",
"*\\Application\\AndrowsLauncher.exe",
],
"Rule_Process_ExploitableBlacklist": [
"*\\cmd.exe",
@@ -203,6 +213,7 @@
"*\\ventoy\\Boot\\*",
"*\\AdminRegionConfig.*",
"*\\nt_qq\\nt_*\\*",
"*\\cache\\*",
],
"Rule_File_RansomwareExtensions": [
".zip", ".7z", ".rar", ".tar", ".gz",
+7 -4
View File
@@ -26,6 +26,7 @@ pip install pandas
pip install scikit-learn
pip install lightgbm
pip install onnxmltools
pip install orjson
```
## File Information
@@ -34,10 +35,6 @@ The following lists the storage locations of all relevant code and other related
```
PYAS/
├── Embed/ # Deploy an embedded command line antivirus engine
│ ├── Dockerfile
│ └── ...
│
├── Engine/ # Complete code for Yara signatures and AI model training
│ ├── Heuristic/
│ │ └── ... # Yara Rules
@@ -131,6 +128,12 @@ graph TD
BootProtect -->|IOCTL_DISK_FORMAT_TRACKS...| Disk
```
## Machine Learning
The machine learning-based virus scanning engine training achieved extremely high accuracy.
<img width="1191" height="1323" alt="train" src="https://github.com/user-attachments/assets/2eea8426-1f82-44e3-9a38-f96f9257cf50" />
## Support System
Please ensure your computer supports Microsoft Visual C++ 2015-2022 Redistributable and Edge Webview2.