245 lines
9.7 KiB
Python
245 lines
9.7 KiB
Python
import os, yara, numpy, base64, onnxruntime
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import ctypes, ctypes.wintypes, pefile
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from PIL import Image
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from io import BytesIO
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####################################################################################################
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class GUID(ctypes.Structure):
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_fields_ = [
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("Data1", ctypes.wintypes.DWORD),
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("Data2", ctypes.wintypes.WORD),
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("Data3", ctypes.wintypes.WORD),
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("Data4", ctypes.c_ubyte * 8)]
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class WINTRUST_FILE_INFO(ctypes.Structure):
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_fields_ = [
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("cbStruct", ctypes.wintypes.DWORD),
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("pcwszFilePath", ctypes.wintypes.LPCWSTR),
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("hFile", ctypes.wintypes.HANDLE),
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("pgKnownSubject", ctypes.wintypes.LPVOID)]
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class WINTRUST_DATA(ctypes.Structure):
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_fields_ = [
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("cbStruct", ctypes.wintypes.DWORD),
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("pPolicyCallbackData", ctypes.wintypes.LPVOID),
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("pSIPClientData", ctypes.wintypes.LPVOID),
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("dwUIChoice", ctypes.wintypes.DWORD),
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("fdwRevocationChecks", ctypes.wintypes.DWORD),
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("dwUnionChoice", ctypes.wintypes.DWORD),
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("pFile", ctypes.POINTER(WINTRUST_FILE_INFO)),
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("dwStateAction", ctypes.wintypes.DWORD),
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("hWVTStateData", ctypes.wintypes.HANDLE),
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("pwszURLReference", ctypes.wintypes.LPCWSTR),
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("dwProvFlags", ctypes.wintypes.DWORD),
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("dwUIContext", ctypes.wintypes.DWORD),
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("pSignatureSettings", ctypes.wintypes.LPVOID)]
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####################################################################################################
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class sign_scanner:
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def __init__(self):
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self.verify = GUID(0x00AAC56B, 0xCD44, 0x11D0, (0x8C, 0xC2, 0x00, 0xC0, 0x4F, 0xC2, 0x95, 0xEE))
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def init_windll(self, path):
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for name in path:
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try:
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setattr(self, name.lower(), ctypes.WinDLL(name, use_last_error=True))
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except Exception as e:
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self.send_message(e, "warn", False)
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self.WinVerifyTrust = self.wintrust.WinVerifyTrust
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self.WinVerifyTrust.restype = ctypes.wintypes.LONG
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self.WinVerifyTrust.argtypes = [ctypes.wintypes.HWND, ctypes.POINTER(GUID), ctypes.c_void_p]
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def is_sign(self, file_path):
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with pefile.PE(file_path, fast_load=True) as pe:
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sec_dir = pe.OPTIONAL_HEADER.DATA_DIRECTORY[pefile.DIRECTORY_ENTRY['IMAGE_DIRECTORY_ENTRY_SECURITY']]
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return sec_dir.VirtualAddress != 0 and sec_dir.Size > 0
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def sign_verify(self, file_path):
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fi = WINTRUST_FILE_INFO(ctypes.sizeof(WINTRUST_FILE_INFO), file_path, None, None)
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data = WINTRUST_DATA(ctypes.sizeof(WINTRUST_DATA), None, None, 2, 0, 1,
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ctypes.pointer(fi), 1, None, None, 0, 0, None)
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s = self.WinVerifyTrust(None, ctypes.byref(self.verify), ctypes.byref(data))
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data.dwStateAction = 2
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self.WinVerifyTrust(None, ctypes.byref(self.verify), ctypes.byref(data))
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return s == 0
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####################################################################################################
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class rule_scanner:
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def __init__(self):
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self.suffix = {".com", ".dll", ".drv", ".exe", ".ocx", ".scr", ".sys"}
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self.rules = None
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self.network = []
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def load_path(self, path, callback=None):
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yara_files = {}
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for root, _, files in os.walk(path):
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for file in files:
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full_path = os.path.join(root, file)
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if callback:
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callback(full_path)
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ext = os.path.splitext(file)[1].lower()
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if ext in ('.yara', '.yar'):
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namespace = os.path.relpath(full_path, path).replace(os.sep, '_')
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yara_files[namespace] = full_path
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elif ext in ('.yc', '.yrc'):
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self.load_compiled_rule(full_path)
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elif ext in ('.ip', '.txt'):
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self.load_network_list(full_path)
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if yara_files:
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self.compile_all_rules(yara_files)
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def load_compiled_rule(self, file):
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try:
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self.rules = yara.load(file)
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except Exception as e:
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print(e)
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def load_network_list(self, file):
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try:
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with open(file, "r", encoding="utf-8", errors="ignore") as f:
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self.network.extend(line.strip() for line in f if line.strip())
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except Exception as e:
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print(e)
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def compile_all_rules(self, file_map):
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try:
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self.rules = yara.compile(filepaths=file_map)
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except Exception as e:
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print(e)
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def yara_scan(self, file_path):
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try:
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if not self.rules:
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return False, False
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fpath_str = str(file_path)
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ext = os.path.splitext(fpath_str)[-1].lower()
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if ext not in self.suffix:
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return False, False
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matches = self.rules.match(filepath=file_path)
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if matches:
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rule_name = str(matches[0])
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types = rule_name.split("_")[0]
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label = rule_name.split("_")[1]
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level = rule_name.split("_")[2]
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return f"{types}/{label}", level
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return False, False
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except Exception:
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return False, False
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####################################################################################################
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class model_scanner:
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def __init__(self):
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self.models = []
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self.suffix = {".com", ".dll", ".drv", ".exe", ".ocx", ".scr", ".sys"}
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self.labels = ["Pefile/White", "Pefile/General"]
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self.detect_set = {"Pefile/General"}
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self.resize = (224, 224)
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def load_path(self, path, callback=None):
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for root, _, files in os.walk(path):
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for file in files:
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full_path = os.path.join(root, file)
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if callback:
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callback(full_path)
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self.load_file(full_path)
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def load_file(self, file):
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if file.lower().endswith('.onnx'):
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try:
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session = onnxruntime.InferenceSession(file)
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self.models.append(session)
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except Exception:
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return False
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def model_scan(self, file_path, full_output=False):
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if not self.models:
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return (False, False) if not full_output else ([], str(file_path), None)
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sections = self.extract_sections(file_path)
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if not sections:
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return (False, False) if not full_output else ([], str(file_path), None)
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images = [self.preprocess_image(data, self.resize) for data in sections.values()]
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if not images:
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return (False, False) if not full_output else ([], str(file_path), None)
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arr = numpy.stack([numpy.asarray(img).astype('float32') / 255.0 for img in images])
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if arr.ndim == 3:
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arr = numpy.expand_dims(arr, axis=-1)
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results = []
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best_malicious = None
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for model in self.models:
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input_meta = model.get_inputs()[0]
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input_name = input_meta.name
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input_shape = input_meta.shape
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curr_arr = arr.copy()
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if len(input_shape) == 4:
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if input_shape[1] in (1, 3) and input_shape[3] not in (1, 3):
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curr_arr = curr_arr.transpose(0, 3, 1, 2)
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try:
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probs = model.run(None, {input_name: curr_arr})[0]
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except Exception:
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continue
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for name, pred, img in zip(sections.keys(), probs, images):
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idx = int(numpy.argmax(pred))
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label = self.labels[idx] if idx < len(self.labels) else f"Class_{idx}"
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conf = round(float(pred[idx]) * 100, 2)
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if full_output:
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results.append((name, label, conf, self.pil_to_base64(img)))
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if label in self.detect_set:
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if best_malicious is None or conf > best_malicious[1]:
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best_malicious = (label, int(conf))
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if full_output:
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results.sort(key=lambda x: (x[1] not in self.detect_set, -x[2]))
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malicious_count = sum(1 for _, lbl, _, _ in results if lbl in self.detect_set)
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total = len(results)
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return results, str(file_path), f"{malicious_count}/{total}"
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return best_malicious if best_malicious else (False, False)
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def pil_to_base64(self, img):
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buf = BytesIO()
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img.save(buf, format='PNG')
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return base64.b64encode(buf.getvalue()).decode()
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def preprocess_image(self, data, size, channels=1):
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width, height = size
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wah = int(numpy.ceil(numpy.sqrt(len(data) / channels)))
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arr = numpy.frombuffer(data, dtype=numpy.uint8)
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imgbuf = numpy.zeros(wah * wah * channels, dtype=numpy.uint8)
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imgbuf[:len(arr)] = arr
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image = Image.fromarray(imgbuf.reshape((wah, wah)), 'L')
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return image.resize((width, height), Image.Resampling.NEAREST)
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def extract_sections(self, file_path):
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match_data = {}
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fpath_str = str(file_path)
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ext = os.path.splitext(fpath_str)[-1].lower()
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if ext in self.suffix:
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try:
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with pefile.PE(fpath_str, fast_load=True) as pe:
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for section in pe.sections:
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name = section.Name.rstrip(b'\x00').decode('latin1', errors='ignore').lower()
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data = section.get_data()
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if data:
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match_data[name] = data
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except Exception:
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pass
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return match_data
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