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Update app.py
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app.py
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@@ -12,13 +12,21 @@ import time
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import struct
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import subprocess
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from datetime import datetime
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from typing import List, Dict, Any, Tuple
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from fastapi import FastAPI, UploadFile, File, Request, WebSocket, WebSocketDisconnect
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from fastapi.responses import HTMLResponse, FileResponse
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from fastapi.templating import Jinja2Templates
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WORKSPACE_DIR = "/tmp/re_workspace"
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OUTPUT_DIR = "/tmp/re_output"
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@@ -27,36 +35,26 @@ os.makedirs(OUTPUT_DIR, exist_ok=True)
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templates = Jinja2Templates(directory="templates")
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# ا
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'.
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IGNORED_SUBDIRS = ['res/drawable', 'res/color', 'res/anim', 'res/mipmap']
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# تعابير نمطية مستهدفة
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DISCORD_PATTERN = re.compile(r'discord\.(?:gg|com/invite)/[a-zA-Z0-9_-]+', re.IGNORECASE)
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STUART_PATTERN = re.compile(r'https?://[a-zA-Z0-9.-]*stuartmods[a-zA-Z0-9.-]*\.[a-zA-Z]{2,}[^\s<>"{}|\\^`\']*', re.IGNORECASE)
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GENERIC_URL_PATTERN = re.compile(r'https?://[^\s<>"{}|\\^`\']+', re.IGNORECASE)
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EMAIL_PATTERN = re.compile(r'[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}', re.IGNORECASE)
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(re.compile(r'(?:BaseURL|API_URL|ENDPOINT|SERVER_URL|HOST_URL)\s*[:=]\s*["\']([^"\']+)["\']', re.IGNORECASE), "API_ENDPOINT_VAR"),
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(re.compile(r'const-string\s+v\d+,\s*["\']([^"\']+)["\']', re.IGNORECASE), "SMALI_CONST_STRING")
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]
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r'(?:HttpURLConnection|OkHttpClient|Retrofit|WebView|loadUrl|HttpClient|curl_easy_init|SSL_read)',
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re.IGNORECASE
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)
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BASE64_PATTERN = re.compile(r'(?:[A-Za-z0-9+/]{4}){5,}(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?')
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HEX_ESCAPED_PATTERN = re.compile(r'(?:\\x[0-9a-fA-F]{2}){4,}')
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class ConnectionManager:
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def __init__(self):
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@@ -112,27 +110,22 @@ def calculate_entropy(data: bytes) -> float:
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entropy -= p * math.log2(p)
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return entropy
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def
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def
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try:
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with open(file_path, 'rb') as f:
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content = f.read()
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matches = re.findall(rb'[\x20-\x7e]{4,}', content)
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return "\n".join([m.decode('ascii', errors='ignore') for m in matches])
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except Exception:
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return ""
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def parse_il2cpp_metadata(file_path: str) -> List[str]:
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extracted_strings = []
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try:
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with open(file_path, 'rb') as f:
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@@ -155,22 +148,94 @@ def parse_il2cpp_metadata(file_path: str) -> List[str]:
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lit_len, lit_data_off = struct.unpack("<II", data[sl_offset + i * 8 : sl_offset + i * 8 + 8])
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if sld_offset + lit_data_off + lit_len <= len(data):
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s = data[sld_offset + lit_data_off : sld_offset + lit_data_off + lit_len].decode('utf-8', errors='ignore')
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if len(s.strip()) >
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extracted_strings.append(s)
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except Exception:
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pass
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return extracted_strings
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def
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def brute_force_xor_full(raw_bytes: bytes) -> List[Dict[str, Any]]:
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"""تطبيق
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results = []
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sample = raw_bytes[:
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targets = [b"http://", b"https://", b"discord", b"stuartmods", b"license", b"verify"]
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for key in range(1, 256):
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@@ -179,10 +244,11 @@ def brute_force_xor_full(raw_bytes: bytes) -> List[Dict[str, Any]]:
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if t in dec.lower():
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urls = GENERIC_URL_PATTERN.findall(dec.decode('ascii', errors='ignore'))
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for u in set(urls[:5]):
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break
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return results
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@@ -191,8 +257,8 @@ def analyze_file_deep(file_path: str, extract_root: str) -> Dict[str, Any]:
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file_name = os.path.basename(file_path).lower()
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file_size = os.path.getsize(file_path)
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encrypted_findings = []
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try:
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@@ -202,25 +268,42 @@ def analyze_file_deep(file_path: str, extract_root: str) -> Dict[str, Any]:
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entropy = calculate_entropy(raw_bytes)
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text_content = ""
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#
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if "global-metadata.dat" in file_name:
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metadata_strings = parse_il2cpp_metadata(file_path)
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if metadata_strings:
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text_content = "\n".join(metadata_strings)
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#
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if not text_content:
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if file_name.endswith(
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else:
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text_content = raw_bytes.decode('utf-8', errors='ignore')
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#
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for m in DISCORD_PATTERN.finditer(text_content):
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val = m.group()
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snip = extract_snippet(text_content, m.start(), m.end(), 100)
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"type": "
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"value": val,
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"snippet": snip,
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"severity": "CRITICAL"
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for m in STUART_PATTERN.finditer(text_content):
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val = m.group()
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snip = extract_snippet(text_content, m.start(), m.end(), 100)
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"type": "STUARTMODS_SERVER",
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"value": val,
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"snippet": snip,
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"severity": "CRITICAL"
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})
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#
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for m in GENERIC_URL_PATTERN.finditer(text_content):
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val = m.group()
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if "discord" not in val.lower() and "stuartmods" not in val.lower():
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snip = extract_snippet(text_content, m.start(), m.end(), 100)
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# تقييم ذكي بناءً على الكلمات المجاورة
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snip_lower = snip.lower()
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is_high = any(k in snip_lower for k in ["verify", "license", "activation", "api", "auth", "getkey"])
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# ج) تحليل السياق البرمجي والدوال الشبكية (Suspicious Files)
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has_net_api = bool(NETWORK_API_PATTERNS.search(text_content))
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for pattern, ctx_type in CODE_CONTEXT_PATTERNS:
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for m in pattern.finditer(text_content):
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matched_val = m.group(1) if m.groups() else m.group()
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snip = extract_snippet(text_content, m.start(), m.end(), 100)
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suspicious_findings.append({
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"type": f"CODE_CONTEXT_{ctx_type}",
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"value": matched_val,
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"snippet": snip,
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"severity": "HIGH" if has_net_api else "MEDIUM"
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})
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#
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for b64 in
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try:
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dec = base64.b64decode(b64).decode('utf-8', errors='ignore')
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if any(k in dec.lower() for k in ['http', 'discord', 'stuartmods', 'key', 'license', 'verify']):
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encrypted_findings.append({
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"method": "Base64 Decoded",
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"value": f"{b64} -> {dec}",
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"snippet": f"
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"severity": "
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})
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except Exception:
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pass
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#
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if
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encrypted_findings.append({
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"method": "ROT13 Cipher",
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"value": "اكتشاف نصوص مشفرة بـ ROT13",
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"snippet": "تم رصد سلاسل نصية مفكوكة بـ ROT13 تحتوي على روابط أو مفاتيح",
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"severity": "HIGH"
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})
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# XOR Full Brute Force للملفات < 5MB
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if file_size <= 5 * 1024 * 1024 and (file_name.endswith('.so') or entropy > 6.0):
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xor_hits = brute_force_xor_full(raw_bytes)
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for x_item in xor_hits:
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encrypted_findings.append({
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"severity": "CRITICAL" if "discord" in x_item['decoded'].lower() or "stuartmods" in x_item['decoded'].lower() else "HIGH"
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})
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# هـ) فحص الملفات عالية العشوائية (Entropy > 7.5)
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if entropy > 7.5:
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suggested_decomp = "XOR / Custom Packer"
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try:
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zlib.decompress(raw_bytes)
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suggested_decomp = "Zlib Compressed"
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except Exception:
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try:
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gzip.decompress(raw_bytes)
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suggested_decomp = "Gzip Compressed"
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except Exception:
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pass
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encrypted_findings.append({
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"method": f"High Entropy ({entropy:.2f})",
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"value": f"ملف مشفر/مضغوط: {rel_path}",
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"snippet": f"العشوائية مرتفعة جداً ({entropy:.2f}). طريقة الفك المقترحة: {suggested_decomp}",
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"severity": "HIGH"
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})
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except Exception:
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pass
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return {
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"file": rel_path,
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"
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"
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"
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}
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def run_full_analysis_sync(extract_folder: str) -> Dict[str, Any]:
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for root, _, files in os.walk(extract_folder):
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for f in files:
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full_p = os.path.join(root, f)
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ext = os.path.splitext(f)[1].lower()
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if ext in IGNORED_EXTENSIONS:
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continue
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rel_p = os.path.relpath(full_p, extract_folder).replace('\\', '/')
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if any(rel_p.startswith(sub) for sub in IGNORED_SUBDIRS):
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continue
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files_to_scan.append(full_p)
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total_files = len(files_to_scan)
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all_links = []
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all_encrypted = []
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stats = {
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"total_files": total_files,
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"total_links": 0,
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"
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"total_encrypted": 0,
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"critical_count": 0,
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"high_count": 0,
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for file_p in files_to_scan:
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res = analyze_file_deep(file_p, extract_folder)
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if res["
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stats["total_links"] += len(res["
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for l in res["
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stats[f"{l['severity'].lower()}_count"] = stats.get(f"{l['severity'].lower()}_count", 0) + 1
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all_links.append({"file": res["file"], "items": res["
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if res["
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stats["
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for
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stats[f"{
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if res["
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stats["total_encrypted"] += len(res["
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for e in res["
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stats[f"{e['severity'].lower()}_count"] = stats.get(f"{e['severity'].lower()}_count", 0) + 1
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all_encrypted.append({"file": res["file"], "items": res["
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return {
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"summary": stats,
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"
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"
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"
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}
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@app.get("/", response_class=HTMLResponse)
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async def analyze_files(files: List[UploadFile] = File(...)):
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clean_workspace()
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await manager.broadcast_log("INFO", f"بدء استقبال {len(files)} ملف/ملفات...", 5)
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extract_folder = os.path.join(WORKSPACE_DIR, "extracted")
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os.makedirs(extract_folder, exist_ok=True)
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while chunk := await uploaded_file.read(4 * 1024 * 1024):
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buffer.write(chunk)
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if uploaded_file.filename.lower().endswith(".zip"
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await manager.broadcast_log("INFO", f"جاري فك
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try:
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with zipfile.ZipFile(file_path, 'r') as zf:
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zf.extractall(extract_folder)
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else:
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shutil.copy(file_path, os.path.join(extract_folder, uploaded_file.filename))
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await manager.broadcast_log("INFO", "بدء
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# تشغيل ال
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report_data = await asyncio.to_thread(run_full_analysis_sync, extract_folder)
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await manager.broadcast_log("SUCCESS", f"اكتمل الف
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json_path = os.path.join(OUTPUT_DIR, "analysis_report.json")
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with open(json_path, "w", encoding="utf-8") as f:
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<html lang="ar" dir="rtl">
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<head>
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<meta charset="UTF-8">
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<title>
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<style>
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body {{ font-family: system-ui, sans-serif; background: #0f172a; color: #f8fafc; padding: 20px; line-height: 1.5; }}
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.card {{ background: #1e293b; padding: 16px; border-radius: 10px; margin-bottom: 16px; border: 1px solid #334155; }}
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@@ -464,34 +501,34 @@ def generate_html_report(data: Dict[str, Any], save_path: str):
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| 464 |
</style>
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| 465 |
</head>
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| 466 |
<body>
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| 467 |
-
<h1>تقرير التفتيش ال
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<div class="card">
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| 469 |
<h3>الملخص الإحصائي</h3>
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| 470 |
<div class="stats-grid">
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| 471 |
<div class="stat-card">الملفات المفحوصة<br><b>{summary['total_files']}</b></div>
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| 472 |
-
<div class="stat-card">الروابط الم
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| 473 |
-
<div class="stat-card">ال
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| 474 |
<div class="stat-card">حاسمة (CRITICAL)<br><b style="color:#dc2626;">{summary['critical_count']}</b></div>
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| 475 |
</div>
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| 476 |
</div>
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| 477 |
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| 478 |
-
<h2>1. الروابط ال
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"""
|
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-
for file_item in data['
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| 481 |
html += f"""<div class="card"><h4 style="color:#facc15;">📁 {file_item['file']}</h4>"""
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| 482 |
for item in file_item['items']:
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| 483 |
html += f"""<div class="snippet"><span class="badge {item['severity']}">{item['severity']}</span> <b>[{item['type']}]</b>: {item['value']}<br><span style="color:#94a3b8;">{item['snippet']}</span></div>"""
|
| 484 |
html += "</div>"
|
| 485 |
|
| 486 |
-
html += "<h2>2. ال
|
| 487 |
-
for file_item in data['
|
| 488 |
html += f"""<div class="card"><h4 style="color:#facc15;">📁 {file_item['file']}</h4>"""
|
| 489 |
for item in file_item['items']:
|
| 490 |
-
html += f"""<div class="snippet"><span class="badge {item['severity']}">{item['severity']}</span> <b>[
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| 491 |
html += "</div>"
|
| 492 |
|
| 493 |
-
html += "<h2>3. الملفات ال
|
| 494 |
-
for file_item in data['
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| 495 |
html += f"""<div class="card"><h4 style="color:#facc15;">📁 {file_item['file']}</h4>"""
|
| 496 |
for item in file_item['items']:
|
| 497 |
html += f"""<div class="snippet"><span class="badge {item['severity']}">{item['severity']}</span> <b>[{item['method']}]</b>: {item['value']}<br><span style="color:#94a3b8;">{item['snippet']}</span></div>"""
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| 12 |
import struct
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| 13 |
import subprocess
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from datetime import datetime
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| 15 |
+
from typing import List, Dict, Any, Tuple, Set
|
| 16 |
|
| 17 |
from fastapi import FastAPI, UploadFile, File, Request, WebSocket, WebSocketDisconnect
|
| 18 |
from fastapi.responses import HTMLResponse, FileResponse
|
| 19 |
from fastapi.templating import Jinja2Templates
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+
from elftools.elf.elffile import ELFFile
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+
from elftools.elf.sections import SymbolTableSection
|
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+
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+
try:
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import cxxfilt
|
| 26 |
+
except ImportError:
|
| 27 |
+
cxxfilt = None
|
| 28 |
+
|
| 29 |
+
app = FastAPI(title="Professional ELF & Native RE Inspector")
|
| 30 |
|
| 31 |
WORKSPACE_DIR = "/tmp/re_workspace"
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| 32 |
OUTPUT_DIR = "/tmp/re_output"
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|
| 35 |
|
| 36 |
templates = Jinja2Templates(directory="templates")
|
| 37 |
|
| 38 |
+
# 1. قائمة التصفية والاستبعاد الصارمة للقضاء على النويز وHTML/CSS
|
| 39 |
+
NOISE_REJECT_PATTERNS = [
|
| 40 |
+
'<', '>', 'style=', 'font-family', 'margin-top', 'padding-', 'background-color',
|
| 41 |
+
'display:', 'position:', 'color:', 'width:', 'height:', 'border:', '.css', '.js',
|
| 42 |
+
'.png', '.jpg', '.jpeg', '.gif', '.svg', 'http://www.w3.org/', 'xmlns:'
|
| 43 |
+
]
|
| 44 |
|
| 45 |
+
ALLOWED_SECTIONS = {'.rodata', '.data', '.dynstr', '.strtab'}
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|
| 46 |
|
| 47 |
+
# 2. التعابير النمطية المستهدفة
|
| 48 |
DISCORD_PATTERN = re.compile(r'discord\.(?:gg|com/invite)/[a-zA-Z0-9_-]+', re.IGNORECASE)
|
| 49 |
STUART_PATTERN = re.compile(r'https?://[a-zA-Z0-9.-]*stuartmods[a-zA-Z0-9.-]*\.[a-zA-Z]{2,}[^\s<>"{}|\\^`\']*', re.IGNORECASE)
|
| 50 |
GENERIC_URL_PATTERN = re.compile(r'https?://[^\s<>"{}|\\^`\']+', re.IGNORECASE)
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|
| 51 |
|
| 52 |
+
ACCEPT_KEYWORD_TRIGGERS = [
|
| 53 |
+
'http://', 'https://', 'discord.gg', 'discord.com', 'stuartmods',
|
| 54 |
+
'api.', 'verify', 'license', 'activation', 'key', 'password', 'check_key', 'auth'
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|
| 55 |
]
|
| 56 |
|
| 57 |
+
FUNCTION_TRIGGER_KEYWORDS = ['check', 'verify', 'license', 'auth', 'java_', 'jni_onload', 'stuart', 'key']
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|
| 58 |
|
| 59 |
class ConnectionManager:
|
| 60 |
def __init__(self):
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|
| 110 |
entropy -= p * math.log2(p)
|
| 111 |
return entropy
|
| 112 |
|
| 113 |
+
def is_noise_string(text: str) -> bool:
|
| 114 |
+
"""فلتر صارم لاستبعاد نصوص HTML/CSS والأيقونات"""
|
| 115 |
+
text_lower = text.lower()
|
| 116 |
+
for noise in NOISE_REJECT_PATTERNS:
|
| 117 |
+
if noise in text_lower:
|
| 118 |
+
return True
|
| 119 |
+
return False
|
| 120 |
|
| 121 |
+
def extract_snippet(text: str, start: int, end: int, margin: int = 100) -> str:
|
| 122 |
+
s_start = max(0, start - margin)
|
| 123 |
+
s_end = min(len(text), end + margin)
|
| 124 |
+
clean_text = text[s_start:s_end].replace('\n', ' ').replace('\r', ' ')
|
| 125 |
+
return f"...{clean_text}..."
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|
| 126 |
|
| 127 |
def parse_il2cpp_metadata(file_path: str) -> List[str]:
|
| 128 |
+
"""محلل بنية Unity global-metadata.dat لاستخراج جدول النصوص C# مباشرة"""
|
| 129 |
extracted_strings = []
|
| 130 |
try:
|
| 131 |
with open(file_path, 'rb') as f:
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|
| 148 |
lit_len, lit_data_off = struct.unpack("<II", data[sl_offset + i * 8 : sl_offset + i * 8 + 8])
|
| 149 |
if sld_offset + lit_data_off + lit_len <= len(data):
|
| 150 |
s = data[sld_offset + lit_data_off : sld_offset + lit_data_off + lit_len].decode('utf-8', errors='ignore')
|
| 151 |
+
if len(s.strip()) > 3 and not is_noise_string(s):
|
| 152 |
extracted_strings.append(s)
|
| 153 |
except Exception:
|
| 154 |
pass
|
| 155 |
return extracted_strings
|
| 156 |
|
| 157 |
+
def demangle_symbol_name(sym_name: str) -> str:
|
| 158 |
+
"""فك تزييف أسماء C++ Mangled Symbols"""
|
| 159 |
+
if not sym_name:
|
| 160 |
+
return ""
|
| 161 |
+
if cxxfilt:
|
| 162 |
+
try:
|
| 163 |
+
return cxxfilt.demangle(sym_name)
|
| 164 |
+
except Exception:
|
| 165 |
+
pass
|
| 166 |
+
return sym_name
|
| 167 |
+
|
| 168 |
+
def analyze_elf_binary(file_path: str) -> Tuple[str, List[Dict[str, Any]], List[Dict[str, Any]]]:
|
| 169 |
+
"""قراءة هيكلية ELF الرسمية واستخراج الأقسام والرموز والدوال المشبوهة"""
|
| 170 |
+
extracted_text_blocks = []
|
| 171 |
+
suspicious_symbols = []
|
| 172 |
+
high_entropy_sections = []
|
| 173 |
+
|
| 174 |
+
try:
|
| 175 |
+
with open(file_path, 'rb') as f:
|
| 176 |
+
elf = ELFFile(f)
|
| 177 |
+
|
| 178 |
+
# 1. استخراج الأقسام الحيوية فقط وسحب النصوص منها
|
| 179 |
+
for section in elf.iter_sections():
|
| 180 |
+
sec_name = section.name
|
| 181 |
+
sec_data = section.data()
|
| 182 |
+
sec_entropy = calculate_entropy(sec_data)
|
| 183 |
+
|
| 184 |
+
if sec_entropy > 7.4 and section.size() > 1024:
|
| 185 |
+
high_entropy_sections.append({
|
| 186 |
+
"section_name": sec_name,
|
| 187 |
+
"size": section.size(),
|
| 188 |
+
"entropy": round(sec_entropy, 2),
|
| 189 |
+
"suggested_action": "XOR Brute-force / Custom Unpacker Required"
|
| 190 |
+
})
|
| 191 |
+
|
| 192 |
+
if sec_name in ALLOWED_SECTIONS:
|
| 193 |
+
matches = re.findall(rb'[\x20-\x7e]{4,}', sec_data)
|
| 194 |
+
for m in matches:
|
| 195 |
+
try:
|
| 196 |
+
s = m.decode('ascii', errors='ignore')
|
| 197 |
+
if not is_noise_string(s):
|
| 198 |
+
s_lower = s.lower()
|
| 199 |
+
if any(trigger in s_lower for k in ACCEPT_KEYWORD_TRIGGERS for trigger in [k]):
|
| 200 |
+
extracted_text_blocks.append(s)
|
| 201 |
+
except Exception:
|
| 202 |
+
pass
|
| 203 |
+
|
| 204 |
+
# 2. استخراج الرموز والدوال المشبوهة من جداول الرموز
|
| 205 |
+
if isinstance(section, SymbolTableSection):
|
| 206 |
+
for symbol in section.iter_symbols():
|
| 207 |
+
sym_name = symbol.name
|
| 208 |
+
if not sym_name:
|
| 209 |
+
continue
|
| 210 |
+
|
| 211 |
+
sym_lower = sym_name.lower()
|
| 212 |
+
if any(kw in sym_lower for kw in FUNCTION_TRIGGER_KEYWORDS):
|
| 213 |
+
demangled = demangle_symbol_name(sym_name)
|
| 214 |
+
suspicious_symbols.append({
|
| 215 |
+
"mangled": sym_name,
|
| 216 |
+
"demangled": demangled,
|
| 217 |
+
"section": sec_name,
|
| 218 |
+
"binding": symbol['st_info']['bind']
|
| 219 |
+
})
|
| 220 |
+
|
| 221 |
+
except Exception:
|
| 222 |
+
# حل بديل إذا كان الملف ثنائياً عادياً وليس ELF قياسي
|
| 223 |
+
try:
|
| 224 |
+
res = subprocess.run(['strings', '-n', '4', file_path], capture_output=True, text=True, errors='ignore', timeout=10)
|
| 225 |
+
for line in res.stdout.splitlines():
|
| 226 |
+
if not is_noise_string(line):
|
| 227 |
+
line_lower = line.lower()
|
| 228 |
+
if any(trigger in line_lower for trigger in ACCEPT_KEYWORD_TRIGGERS):
|
| 229 |
+
extracted_text_blocks.append(line)
|
| 230 |
+
except Exception:
|
| 231 |
+
pass
|
| 232 |
+
|
| 233 |
+
return "\n".join(extracted_text_blocks), suspicious_symbols, high_entropy_sections
|
| 234 |
|
| 235 |
def brute_force_xor_full(raw_bytes: bytes) -> List[Dict[str, Any]]:
|
| 236 |
+
"""تطبيق مفاتيح XOR العنيفة (1-255) على الملفات وحصد النتائج الحقيقية"""
|
| 237 |
results = []
|
| 238 |
+
sample = raw_bytes[:250000]
|
| 239 |
targets = [b"http://", b"https://", b"discord", b"stuartmods", b"license", b"verify"]
|
| 240 |
|
| 241 |
for key in range(1, 256):
|
|
|
|
| 244 |
if t in dec.lower():
|
| 245 |
urls = GENERIC_URL_PATTERN.findall(dec.decode('ascii', errors='ignore'))
|
| 246 |
for u in set(urls[:5]):
|
| 247 |
+
if not is_noise_string(u):
|
| 248 |
+
results.append({
|
| 249 |
+
"key": f"0x{key:02X}",
|
| 250 |
+
"decoded": u
|
| 251 |
+
})
|
| 252 |
break
|
| 253 |
return results
|
| 254 |
|
|
|
|
| 257 |
file_name = os.path.basename(file_path).lower()
|
| 258 |
file_size = os.path.getsize(file_path)
|
| 259 |
|
| 260 |
+
critical_links = []
|
| 261 |
+
suspicious_functions = []
|
| 262 |
encrypted_findings = []
|
| 263 |
|
| 264 |
try:
|
|
|
|
| 268 |
entropy = calculate_entropy(raw_bytes)
|
| 269 |
text_content = ""
|
| 270 |
|
| 271 |
+
# أ) ملفات global-metadata.dat
|
| 272 |
if "global-metadata.dat" in file_name:
|
| 273 |
metadata_strings = parse_il2cpp_metadata(file_path)
|
| 274 |
if metadata_strings:
|
| 275 |
text_content = "\n".join(metadata_strings)
|
| 276 |
|
| 277 |
+
# ب) ملفات .so المباشرة والـ ELF Binaries
|
| 278 |
if not text_content:
|
| 279 |
+
if file_name.endswith('.so') or b'ELF' in raw_bytes[:4]:
|
| 280 |
+
extracted_text, elf_syms, high_sec = analyze_elf_binary(file_path)
|
| 281 |
+
text_content = extracted_text
|
| 282 |
+
|
| 283 |
+
for sym in elf_syms:
|
| 284 |
+
suspicious_functions.append({
|
| 285 |
+
"function_name": sym["demangled"] or sym["mangled"],
|
| 286 |
+
"mangled_symbol": sym["mangled"],
|
| 287 |
+
"section": sym["section"],
|
| 288 |
+
"severity": "HIGH" if "verify" in sym["mangled"].lower() or "license" in sym["mangled"].lower() else "MEDIUM"
|
| 289 |
+
})
|
| 290 |
+
|
| 291 |
+
for sec in high_sec:
|
| 292 |
+
encrypted_findings.append({
|
| 293 |
+
"method": f"High Entropy Section ({sec['section_name']})",
|
| 294 |
+
"value": f"الحجم: {sec['size']} bytes | العشوائية: {sec['entropy']}",
|
| 295 |
+
"snippet": sec["suggested_action"],
|
| 296 |
+
"severity": "HIGH"
|
| 297 |
+
})
|
| 298 |
else:
|
| 299 |
text_content = raw_bytes.decode('utf-8', errors='ignore')
|
| 300 |
|
| 301 |
+
# 1. كشف وتصفية الروابط الحرجّة (Discord & StuartMods)
|
| 302 |
for m in DISCORD_PATTERN.finditer(text_content):
|
| 303 |
val = m.group()
|
| 304 |
snip = extract_snippet(text_content, m.start(), m.end(), 100)
|
| 305 |
+
critical_links.append({
|
| 306 |
+
"type": "DISCORD_INVITE",
|
| 307 |
"value": val,
|
| 308 |
"snippet": snip,
|
| 309 |
"severity": "CRITICAL"
|
|
|
|
| 312 |
for m in STUART_PATTERN.finditer(text_content):
|
| 313 |
val = m.group()
|
| 314 |
snip = extract_snippet(text_content, m.start(), m.end(), 100)
|
| 315 |
+
critical_links.append({
|
| 316 |
"type": "STUARTMODS_SERVER",
|
| 317 |
"value": val,
|
| 318 |
"snippet": snip,
|
| 319 |
"severity": "CRITICAL"
|
| 320 |
})
|
| 321 |
|
| 322 |
+
# 2. كشف الروابط العامة التابعة لـ APIs والتحقق
|
| 323 |
for m in GENERIC_URL_PATTERN.finditer(text_content):
|
| 324 |
val = m.group()
|
| 325 |
+
if not is_noise_string(val) and "discord" not in val.lower() and "stuartmods" not in val.lower():
|
| 326 |
snip = extract_snippet(text_content, m.start(), m.end(), 100)
|
|
|
|
| 327 |
snip_lower = snip.lower()
|
| 328 |
+
|
| 329 |
is_high = any(k in snip_lower for k in ["verify", "license", "activation", "api", "auth", "getkey"])
|
| 330 |
+
if is_high:
|
| 331 |
+
critical_links.append({
|
| 332 |
+
"type": "VERIFICATION_API_URL",
|
| 333 |
+
"value": val,
|
| 334 |
+
"snippet": snip,
|
| 335 |
+
"severity": "HIGH"
|
| 336 |
+
})
|
|
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|
|
|
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|
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|
|
| 337 |
|
| 338 |
+
# 3. فك تشفير Base64 وسلاسل XOR
|
| 339 |
+
base64_matches = re.findall(r'(?:[A-Za-z0-9+/]{4}){6,}(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?', text_content)
|
| 340 |
+
for b64 in base64_matches[:10]:
|
| 341 |
try:
|
| 342 |
dec = base64.b64decode(b64).decode('utf-8', errors='ignore')
|
| 343 |
+
if not is_noise_string(dec) and any(k in dec.lower() for k in ['http', 'discord', 'stuartmods', 'key', 'license', 'verify']):
|
| 344 |
encrypted_findings.append({
|
| 345 |
"method": "Base64 Decoded",
|
| 346 |
"value": f"{b64} -> {dec}",
|
| 347 |
+
"snippet": f"فك ترميز Base64: {dec}",
|
| 348 |
+
"severity": "CRITICAL" if "discord" in dec.lower() or "stuartmods" in dec.lower() else "HIGH"
|
| 349 |
})
|
| 350 |
except Exception:
|
| 351 |
pass
|
| 352 |
|
| 353 |
+
# XOR Full Brute Force للملفات أصغر من 5MB
|
| 354 |
+
if file_size <= 5 * 1024 * 1024 and (file_name.endswith('.so') or entropy > 6.8):
|
|
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|
| 355 |
xor_hits = brute_force_xor_full(raw_bytes)
|
| 356 |
for x_item in xor_hits:
|
| 357 |
encrypted_findings.append({
|
|
|
|
| 361 |
"severity": "CRITICAL" if "discord" in x_item['decoded'].lower() or "stuartmods" in x_item['decoded'].lower() else "HIGH"
|
| 362 |
})
|
| 363 |
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|
| 364 |
except Exception:
|
| 365 |
pass
|
| 366 |
|
| 367 |
return {
|
| 368 |
"file": rel_path,
|
| 369 |
+
"critical_links": critical_links,
|
| 370 |
+
"suspicious_functions": suspicious_functions,
|
| 371 |
+
"encrypted_sections": encrypted_findings
|
| 372 |
}
|
| 373 |
|
| 374 |
def run_full_analysis_sync(extract_folder: str) -> Dict[str, Any]:
|
|
|
|
| 376 |
for root, _, files in os.walk(extract_folder):
|
| 377 |
for f in files:
|
| 378 |
full_p = os.path.join(root, f)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 379 |
rel_p = os.path.relpath(full_p, extract_folder).replace('\\', '/')
|
| 380 |
if any(rel_p.startswith(sub) for sub in IGNORED_SUBDIRS):
|
| 381 |
continue
|
|
|
|
| 382 |
files_to_scan.append(full_p)
|
| 383 |
|
| 384 |
total_files = len(files_to_scan)
|
| 385 |
|
| 386 |
all_links = []
|
| 387 |
+
all_functions = []
|
| 388 |
all_encrypted = []
|
| 389 |
|
| 390 |
stats = {
|
| 391 |
"total_files": total_files,
|
| 392 |
"total_links": 0,
|
| 393 |
+
"total_functions": 0,
|
| 394 |
"total_encrypted": 0,
|
| 395 |
"critical_count": 0,
|
| 396 |
"high_count": 0,
|
|
|
|
| 400 |
for file_p in files_to_scan:
|
| 401 |
res = analyze_file_deep(file_p, extract_folder)
|
| 402 |
|
| 403 |
+
if res["critical_links"]:
|
| 404 |
+
stats["total_links"] += len(res["critical_links"])
|
| 405 |
+
for l in res["critical_links"]:
|
| 406 |
stats[f"{l['severity'].lower()}_count"] = stats.get(f"{l['severity'].lower()}_count", 0) + 1
|
| 407 |
+
all_links.append({"file": res["file"], "items": res["critical_links"]})
|
| 408 |
|
| 409 |
+
if res["suspicious_functions"]:
|
| 410 |
+
stats["total_functions"] += len(res["suspicious_functions"])
|
| 411 |
+
for f_item in res["suspicious_functions"]:
|
| 412 |
+
stats[f"{f_item['severity'].lower()}_count"] = stats.get(f"{f_item['severity'].lower()}_count", 0) + 1
|
| 413 |
+
all_functions.append({"file": res["file"], "items": res["suspicious_functions"]})
|
| 414 |
|
| 415 |
+
if res["encrypted_sections"]:
|
| 416 |
+
stats["total_encrypted"] += len(res["encrypted_sections"])
|
| 417 |
+
for e in res["encrypted_sections"]:
|
| 418 |
stats[f"{e['severity'].lower()}_count"] = stats.get(f"{e['severity'].lower()}_count", 0) + 1
|
| 419 |
+
all_encrypted.append({"file": res["file"], "items": res["encrypted_sections"]})
|
| 420 |
|
| 421 |
return {
|
| 422 |
"summary": stats,
|
| 423 |
+
"critical_links": all_links,
|
| 424 |
+
"suspicious_functions": all_functions,
|
| 425 |
+
"encrypted_sections": all_encrypted
|
| 426 |
}
|
| 427 |
|
| 428 |
@app.get("/", response_class=HTMLResponse)
|
|
|
|
| 442 |
async def analyze_files(files: List[UploadFile] = File(...)):
|
| 443 |
clean_workspace()
|
| 444 |
|
| 445 |
+
await manager.broadcast_log("INFO", f"بدء استقبال {len(files)} ملف/ملفات للتفتيش...", 5)
|
| 446 |
|
| 447 |
extract_folder = os.path.join(WORKSPACE_DIR, "extracted")
|
| 448 |
os.makedirs(extract_folder, exist_ok=True)
|
|
|
|
| 454 |
while chunk := await uploaded_file.read(4 * 1024 * 1024):
|
| 455 |
buffer.write(chunk)
|
| 456 |
|
| 457 |
+
if uploaded_file.filename.lower().endswith((".zip", ".apk")):
|
| 458 |
+
await manager.broadcast_log("INFO", f"جاري فك الأرشيف المرفوع: {uploaded_file.filename}...", 15)
|
| 459 |
try:
|
| 460 |
with zipfile.ZipFile(file_path, 'r') as zf:
|
| 461 |
zf.extractall(extract_folder)
|
|
|
|
| 464 |
else:
|
| 465 |
shutil.copy(file_path, os.path.join(extract_folder, uploaded_file.filename))
|
| 466 |
|
| 467 |
+
await manager.broadcast_log("INFO", "بدء تحليل ELF Sections واستخراج الرموز وفك التشفير بـ XOR...", 30)
|
| 468 |
|
| 469 |
+
# تشغيل الفحص بعيداً عن الخيط الرئيسي لحماية الـ CPU والـ Event Loop
|
| 470 |
report_data = await asyncio.to_thread(run_full_analysis_sync, extract_folder)
|
| 471 |
|
| 472 |
+
await manager.broadcast_log("SUCCESS", f"اكتمل التفتيش! تم اكتشاف {report_data['summary']['total_links']} رابط حاسم و {report_data['summary']['total_functions']} دالة مشبوهة.", 100)
|
| 473 |
|
| 474 |
json_path = os.path.join(OUTPUT_DIR, "analysis_report.json")
|
| 475 |
with open(json_path, "w", encoding="utf-8") as f:
|
|
|
|
| 485 |
<html lang="ar" dir="rtl">
|
| 486 |
<head>
|
| 487 |
<meta charset="UTF-8">
|
| 488 |
+
<title>Professional ELF RE Inspection Report</title>
|
| 489 |
<style>
|
| 490 |
body {{ font-family: system-ui, sans-serif; background: #0f172a; color: #f8fafc; padding: 20px; line-height: 1.5; }}
|
| 491 |
.card {{ background: #1e293b; padding: 16px; border-radius: 10px; margin-bottom: 16px; border: 1px solid #334155; }}
|
|
|
|
| 501 |
</style>
|
| 502 |
</head>
|
| 503 |
<body>
|
| 504 |
+
<h1>تقرير التفتيش الهندسي ومحلل المكتبات الأصلية (ELF / SO)</h1>
|
| 505 |
<div class="card">
|
| 506 |
<h3>الملخص الإحصائي</h3>
|
| 507 |
<div class="stats-grid">
|
| 508 |
<div class="stat-card">الملفات المفحوصة<br><b>{summary['total_files']}</b></div>
|
| 509 |
+
<div class="stat-card">الروابط الحاسمة<br><b>{summary['total_links']}</b></div>
|
| 510 |
+
<div class="stat-card">الدوال المستخرجة<br><b>{summary['total_functions']}</b></div>
|
| 511 |
<div class="stat-card">حاسمة (CRITICAL)<br><b style="color:#dc2626;">{summary['critical_count']}</b></div>
|
| 512 |
</div>
|
| 513 |
</div>
|
| 514 |
|
| 515 |
+
<h2>1. الروابط الحرجة (Critical Links)</h2>
|
| 516 |
"""
|
| 517 |
+
for file_item in data['critical_links']:
|
| 518 |
html += f"""<div class="card"><h4 style="color:#facc15;">📁 {file_item['file']}</h4>"""
|
| 519 |
for item in file_item['items']:
|
| 520 |
html += f"""<div class="snippet"><span class="badge {item['severity']}">{item['severity']}</span> <b>[{item['type']}]</b>: {item['value']}<br><span style="color:#94a3b8;">{item['snippet']}</span></div>"""
|
| 521 |
html += "</div>"
|
| 522 |
|
| 523 |
+
html += "<h2>2. الدوال والرموز المشبوهة (Suspicious Functions)</h2>"
|
| 524 |
+
for file_item in data['suspicious_functions']:
|
| 525 |
html += f"""<div class="card"><h4 style="color:#facc15;">📁 {file_item['file']}</h4>"""
|
| 526 |
for item in file_item['items']:
|
| 527 |
+
html += f"""<div class="snippet"><span class="badge {item['severity']}">{item['severity']}</span> <b>[Function]</b>: {item['function_name']}<br><span style="color:#94a3b8;">Symbol: {item['mangled_symbol']} | Section: {item['section']}</span></div>"""
|
| 528 |
html += "</div>"
|
| 529 |
|
| 530 |
+
html += "<h2>3. الأقسام المشفّرة ومخرجات فك التشفير (Encrypted Sections)</h2>"
|
| 531 |
+
for file_item in data['encrypted_sections']:
|
| 532 |
html += f"""<div class="card"><h4 style="color:#facc15;">📁 {file_item['file']}</h4>"""
|
| 533 |
for item in file_item['items']:
|
| 534 |
html += f"""<div class="snippet"><span class="badge {item['severity']}">{item['severity']}</span> <b>[{item['method']}]</b>: {item['value']}<br><span style="color:#94a3b8;">{item['snippet']}</span></div>"""
|