Add files via upload

Model/PYAS_Model.json

@@ -1,13 +1,9 @@
 {
-    "Suffix": [".exe", ".dll", ".sys", ".bat", ".cmd", ".ps1", ".vbs"], 
-
     "Labels": ["White/Pefile", "White/Script", "Virus/Pefile", "Virus/Script"], 
 
     "Detect": ["Virus/Pefile", "Virus/Script"],  
 
-    "Models": ["PYAS_Model_A1.onnx", "PYAS_Model_A2.onnx", "PYAS_Model_A3.onnx"], 
-
-    "Pixels": [300, 300], 
+    "Pixels": [224, 224], 
 
     "Values": 95
 }

PYAS.py

@@ -1,6 +1,6 @@
 import os, gc, sys, time, json, psutil
-import ctypes, msvcrt, pyperclip, win32file
-import win32gui, win32api, win32con
+import ctypes, struct, msvcrt, pyperclip
+import win32gui, win32api, win32con, win32file
 from PYAS_Engine import YRScan, DLScan
 from PYAS_Suffixes import slist, alist
 from PYAS_Language import translate_dict
@@ -19,7 +19,7 @@ class MainWindow_Controller(QMainWindow):
         self.pyas = sys.argv[0].replace("\\", "/")
         self.dir = os.path.dirname(self.pyas)
         self.pyae_version = "AI Engine"
-        self.pyas_version = "3.1.7"
+        self.pyas_version = "3.2.0"
         self.first_startup = True
         self.init_data_base()
         self.init_tray_icon()
@@ -924,14 +924,12 @@ class MainWindow_Controller(QMainWindow):
             if os.path.exists(file):
                 self.send_notify(self.trans(f"正在掃描: ")+file, False)
             label, level = self.model.dl_scan(file)
-            if label and label in self.model.detect:
-                if self.json["high_sensitive"]:
-                    return label
-                elif level >= self.model.values:
-                    return label
+            if label and self.json["high_sensitive"]:
+                return label
+            elif label and level >= self.model.values:
+                return label
             if self.json["extension_kits"]:
-                if self.rules.yr_scan(file):
-                    return "Virus/Rules"
+                return self.rules.yr_scan(file)[0]
             return False
         except:
             return False
@@ -1330,15 +1328,18 @@ class MainWindow_Controller(QMainWindow):
                     self.kill_process("病毒攔截", p, file, False)
                 elif self.load_scan(p):
                     self.kill_process("加載攔截", p, file, False)
+                elif self.memory_scan(p):
+                    self.kill_process("記憶體攔截", p, file, False)
                 elif ":/Windows" not in file and ":/Program" not in file:
-                    if os.path.exists(file):
+                    ftype = str(f".{file.split('.')[-1]}").lower()
+                    if os.path.exists(file) and ftype in slist:
                         self.track_proc = p, file, True
         except:
             pass
 
     def load_scan(self, p):
         try:
-            for entry in p.memory_maps():
+            for entry in p.memory_maps(grouped=True):
                 file = str(entry.path).replace("\\", "/")
                 if ":/Windows" not in file and file not in self.whitelist:
                     ftype = str(f".{file.split('.')[-1]}").lower()
@@ -1348,19 +1349,48 @@ class MainWindow_Controller(QMainWindow):
         except:
             return False
 
+    def get_module_base(self, p):
+        try:
+            for entry in p.memory_maps(grouped=False):
+                file = str(entry.path).replace("\\", "/")
+                ftype = str(f".{file.split('.')[-1]}").lower()
+                if ftype in [".exe"] and file not in self.whitelist:
+                    return int(entry.addr, 16)
+            return False
+        except:
+            return False
+
     def memory_scan(self, p):
         try:
-            memory_bytes = {}
-            m = ctypes.windll.kernel32.OpenProcess(0x1F0FFF, False, p.pid)
-            for memory_range in p.memory_maps(grouped=False):
-                base_addr = int(memory_range.addr, 16)
-                buffer = ctypes.create_string_buffer(memory_range.rss)
-                if ctypes.windll.kernel32.ReadProcessMemory(m, ctypes.c_void_p(base_addr),
-                    buffer, memory_range.rss, ctypes.byref(ctypes.c_size_t(0))):
-                    file = str(memory_range.path).replace("\\", "/")
-                    if ":/Windows" not in file and self.start_scan(buffer.raw):
-                        return True
-            ctypes.windll.kernel32.CloseHandle(m)
+            base_address = self.get_module_base(p)
+            process_handle = ctypes.windll.kernel32.OpenProcess(0x1F0FFF, False, p.pid)
+            dos_header = ctypes.create_string_buffer(64)
+            ctypes.windll.kernel32.ReadProcessMemory(process_handle,
+            ctypes.c_void_p(base_address), dos_header, 64, None)
+            nt_headers_offset = struct.unpack("<I", dos_header[0x3C:0x3C + 4])[0]
+            nt_headers = ctypes.create_string_buffer(248)
+            ctypes.windll.kernel32.ReadProcessMemory(process_handle,
+            ctypes.c_void_p(base_address + nt_headers_offset), nt_headers, 248, None)
+            number_of_sections = struct.unpack("<H", nt_headers[6:8])[0]
+            optional_header_size = struct.unpack("<H", nt_headers[20:22])[0]
+            section_headers_offset = nt_headers_offset + 24 + optional_header_size
+            for i in range(number_of_sections):
+                section_header = ctypes.create_string_buffer(40)
+                section_address = base_address + section_headers_offset + i * 40
+                ctypes.windll.kernel32.ReadProcessMemory(process_handle,
+                ctypes.c_void_p(section_address), section_header, 40, None)
+                section_name = section_header[:8].rstrip(b'\x00').decode()
+                virtual_address = struct.unpack("<I", section_header[12:16])[0]
+                virtual_size = struct.unpack("<I", section_header[8:12])[0]
+                characteristics = struct.unpack("<I", section_header[36:40])[0]
+                text_address = base_address + virtual_address
+                buffer = ctypes.create_string_buffer(virtual_size)
+                if ctypes.windll.kernel32.ReadProcessMemory(process_handle, ctypes.c_void_p(text_address),
+                buffer, virtual_size, ctypes.byref(ctypes.c_size_t(0))) and characteristics & 0x20000000:
+                    if not any(shell in section_name.lower() for shell in self.model.shells):
+                        if self.start_scan(buffer.raw):
+                            return True
+            ctypes.windll.kernel32.CloseHandle(process_handle)
             return False
         except:
             return False

PYAS_Engine.py

@@ -1,5 +1,5 @@
 import os, io, sys, time, json, yara
-import numpy, onnxruntime
+import numpy, pefile, onnxruntime
 from PIL import Image, ImageShow
 
 class YRScan:
@@ -8,14 +8,17 @@ class YRScan:
         self.network = []
 
     def load_rules(self, file_path):
-        ftype = str(f".{file_path.split('.')[-1]}").lower()
-        if ftype in [".yara", ".yar"]:
-            self.rules[file_path] = yara.compile(file_path)
-        elif ftype in [".yc", ".yrc"]:
-            self.rules[file_path] = yara.load(file_path)
-        elif ftype in [".ip", ".ips"]:
-            with open(file_path, "r") as f:
-                self.network += [l.strip() for l in f.readlines()]
+        try:
+            ftype = str(f".{file_path.split('.')[-1]}").lower()
+            if ftype in [".yara", ".yar"]:
+                self.rules[file_path] = yara.compile(file_path)
+            elif ftype in [".yc", ".yrc"]:
+                self.rules[file_path] = yara.load(file_path)
+            elif ftype in [".ip", ".ips"]:
+                with open(file_path, "r") as f:
+                    self.network += [l.strip() for l in f.readlines()]
+        except:
+            pass
 
     def yr_scan(self, file_path):
         try:
@@ -23,52 +26,43 @@ class YRScan:
                 with open(file_path, "rb") as f:
                     file_path = f.read()
             for name, rules in self.rules.items():
-                if rules.match(data=file_path):
-                    return True
-            return False
+                matchs_rules = rules.match(data=file_path)
+                if matchs_rules:
+                    return "Virus/Rules", matchs_rules
+            return False, False
         except:
-            return False
+            return False, False
 
 class DLScan:
     def __init__(self):
         self.models = {}
         self.detect = []
         self.values = 100
+        self.shells = ['!o', '/4', '0a@', '?g_encry', '_test', 'ace', 'yg', 'obr', 'b1_',
+        'base', 'bss', 'clr_uef', 'cursors', 'trs_age', 'engine', 'enigma', 'extjmp',
+        'fio', 'fothk', 'hexpthk', 'h~;', 'icapsec', 'il2cpp', 'imageres', 'lzmadec',
+        'malloc_h', 'miniex', 'mpress', 'mssmixer', 'ndr64', 'nep', 'no_bbt', 'wpp_sf',
+        'nsys_wr', 'orpc', 'packer', 'pad', 'tvm', 'pgae', 'poolmi', 'proxy', 'segm',
+        'retpol', 'rt', 'rwexec', 'u7m', 'rygs', 's:@', 'sanontcp', 'secur', 'asmstub',
+        'tracesup', 'transit', 'upx', 'uedbg', 'viahw', 'vmp', 'wow64svc', 'be', 'zk']
 
     def load_model(self, file_path):
-        ftype = str(f".{file_path.split('.')[-1]}").lower()
-        if ftype in [".json", ".txt"]:
-            self.class_names = json.load(open(file_path, 'r'))
-        self.values = self.class_names['Values']
-        self.detect = self.class_names['Detect']
-        available_providers = onnxruntime.get_available_providers()
-        preferred_providers = [
-        'CUDAExecutionProvider', 'ROCmExecutionProvider',
-        'OpenVINOExecutionProvider', 'DirectMLExecutionProvider',
-        'AzureExecutionProvider', 'CPUExecutionProvider']
-        providers = [p for p in preferred_providers if p in available_providers]
-        for model in self.class_names['Models']:
-            try:
-                model_path = os.path.join(os.path.dirname(file_path), model)
-                try:
-                    self.models[model] = onnxruntime.InferenceSession(model_path, providers=providers)
-                except Exception as e:
-                    providers = ['CPUExecutionProvider']
-                    self.models[model] = onnxruntime.InferenceSession(model_path, providers=providers)
-            except:
-                pass
-
-    def dl_scan(self, file_path):
         try:
-            if isinstance(file_path, str):
-                ftype = str(f".{file_path.split('.')[-1]}").lower()
-                if ftype in self.class_names['Suffix']:
-                    with open(file_path, 'rb') as f:
-                        file_path = f.read()
-                else:
-                    return False, False
+            ftype = str(f".{file_path.split('.')[-1]}").lower()
+            if ftype in [".json", ".txt"]:
+                with open(file_path, 'r') as f:
+                    self.class_names = json.load(f)
+            elif ftype in [".onnx"]:
+                self.models[file_path] = onnxruntime.InferenceSession(file_path)
+            self.values = self.class_names['Values']
+            self.detect = self.class_names['Detect']
+        except:
+            pass
+
+    def predict(self, file_data):
+        try:
             target_size, sim = tuple(self.class_names['Pixels']), {}
-            image = self.preprocess_image(file_path, target_size)
+            image = self.preprocess_image(file_data, target_size)
             image_array = numpy.array(image).astype('float32') / 255.0
             image_expand = numpy.expand_dims(image_array, axis=0)
             for model_name, model in self.models.items():
@@ -78,19 +72,43 @@ class DLScan:
                 label = self.class_names['Labels'][number].replace("\n", "")
                 sim[label] = sim.setdefault(label, 0) + pre_answer[number]
             for local_label, sim_sum in sim.items():
-                if sim[local_label] > len(self.models) / 2:
+                if sim_sum > len(self.models) / 2:
                     local_level = sim_sum / len(self.models)
                     return local_label, local_level * 100
             return False, False
         except:
             return False, False
 
-    def preprocess_image(self, file_data, target_size): # New
+    def dl_scan(self, file_path):
+        try:
+            if isinstance(file_path, bytes):
+                label, level = self.predict(file_path)
+                if label and label in self.detect:
+                    return label, level
+            ftype = str(f".{file_path.split('.')[-1]}").lower()
+            if ftype in [".exe", ".dll", ".sys", ".scr", ".com"]:
+                with pefile.PE(file_path, fast_load=True) as pe:
+                    match_data = [section.get_data() for section in pe.sections
+                    if section.Characteristics & 0x20000000 and not
+                    any(shell in section.Name.decode().strip('\x00').lower()
+                    for shell in self.shells)]
+            elif ftype in [".bat", ".vbs", ".ps1", ".cmd", ".js"]:
+                with open(file_path, 'rb') as file:
+                    match_data = [file.read()]
+            for file_data in match_data:
+                label, level = self.predict(file_data)
+                if label and label in self.detect:
+                    return label, level
+            return False, False
+        except:
+            return False, False
+
+    def preprocess_image(self, file_data, target_size):
         file_data = numpy.frombuffer(file_data, dtype=numpy.uint8)
         data_count = len(file_data)
         wah = int(numpy.ceil(numpy.sqrt((data_count + 2) // 3)))
         image_array = numpy.zeros((wah * wah * 3,), dtype=numpy.uint8)
         image_array[:data_count] = file_data
         image_array = image_array.reshape((wah, wah, 3))
-        image = Image.fromarray(image_array) #ImageShow.show(image)
+        image = Image.fromarray(image_array)
         return image.resize(target_size, Image.Resampling.LANCZOS)

PYAS_Suffixes.py

@@ -1,7 +1,8 @@
-slist = [".exe",".dll",".com",".msi",".scr",
-         ".js",".bat",".cmd",".ps1",".vbs"]
+slist = [".exe",".dll",".sys",".com",".scr",
+         ".bat",".ps1",".vbs",".cmd",".js"]
 
-alist = [".exe",".dll",".zip",".7z",".rar",
+alist = [".exe",".dll",".sys",".com",".scr",
+         ".zip",".7z",".rar",".tar",".gz",
          ".js",".bat",".cmd",".ps1",".vbs",
          ".ppt",".pptx",".wps",".txt",".rtf",
          ".pdf",".xls",".xlsx",".doc",".docx",

PYAS_Version.py

@@ -2,7 +2,7 @@ import pyinstaller_versionfile
 
 pyinstaller_versionfile.create_versionfile(
 output_file="versionfile.txt",
-version='3.1.7',
+version='3.2.0',
 company_name="PYAS Security",
 file_description="Python Antivirus Software",
 internal_name="PYAS",