zhaolei
d05537e1fb
- policy.yaml: 新增 9 条恶意行为关键词规则（ReverseShell/CredentialStealer/Mimikatz/TScon 等） - binary.py: 新增 4 条 PE 检测（UPXPackerDetected/RWXSectionDetected/PEArchInfo/DebugInformationPresent） - console.py + test_center.html: 靶场表格最前加 case_id 列，与 CSV 用例编号一致 - docker-compose.yml: 挂载 tests/samples 为只读 volume，样本更新免 rebuild - scripts/generate_csv_samples.py: 一键从用例.csv 生成样本 + index.json - tests/samples/: 128 个 CSV 对齐样本文件 + index.json（93 条元数据） 引擎覆盖度: L3 12%→60%, L5 20%→55%, 总计 54%→75%
404 lines
15 KiB
Python
404 lines
15 KiB
Python
"""L2b YARA 规则与二进制分析引擎。
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包含：
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- YARA 规则匹配（规则库从 ``rules/`` 目录加载，支持热加载）
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- PE 文件结构分析（pefile）：节区异常、导入表、编译信息、签名
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- 可执行文件能力识别（capa，若已安装）
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"""
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from __future__ import annotations
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import os
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import threading
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from typing import Any, Dict, List, Optional
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from app.engines.base import Engine, EngineResult, Finding, ScanTarget, Severity
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BINARY_EXTS = {".exe", ".dll", ".sys", ".scr", ".com", ".cpl", ".ocx", ".msi", ".apk", ".jar", ".so", ".bin", ".elf"}
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# ---------- 模块级全局 YARA 规则单例 ----------
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# 所有 YaraEngine 实例共享同一个编译结果，避免重复 compile
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# rules_dir 不同时（极少见）才分叉加载
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_YARA_GLOBAL: Dict[str, Dict[str, Any]] = {}
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_YARA_LOCK = threading.Lock()
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def _get_global_yara(rules_dir: str) -> Optional[Any]:
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"""获取全局共享的 YARA Rules 对象（自动按目录 mtime 重载）。"""
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with _YARA_LOCK:
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cached = _YARA_GLOBAL.get(rules_dir)
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import yara as _yr
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newest = 0.0
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files: List[str] = []
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if os.path.isdir(rules_dir):
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for name in sorted(os.listdir(rules_dir)):
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if name.endswith((".yar", ".yara")):
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path = os.path.join(rules_dir, name)
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files.append(path)
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newest = max(newest, os.path.getmtime(path))
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if cached and cached.get("mtime") == newest:
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return cached.get("rules")
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if not files:
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_YARA_GLOBAL[rules_dir] = {"rules": None, "mtime": newest}
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return None
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try:
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compiled = _yr.compile(filepaths={os.path.basename(p): p for p in files})
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except Exception:
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_YARA_GLOBAL[rules_dir] = {"rules": None, "mtime": newest}
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return None
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_YARA_GLOBAL[rules_dir] = {"rules": compiled, "mtime": newest}
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return compiled
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def _discover_rules_dir() -> str:
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"""自动探测 YARA 规则目录（优先环境变量 > /app/rules > 项目根 rules/）。"""
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env_dir = os.environ.get("MESHSAFE_RULES_DIR", "").strip()
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if env_dir and os.path.isdir(env_dir):
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return env_dir
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for candidate in ("/app/rules", "rules", "./rules", "../rules"):
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if os.path.isdir(candidate):
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return os.path.abspath(candidate)
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return env_dir or "/app/rules"
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class YaraEngine(Engine):
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"""YARA 规则匹配引擎（使用全局共享的编译结果）。"""
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name = "yara"
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layer = "L2B"
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def __init__(self, rules_dir: str | None = None) -> None:
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# 显式传入时才用传入值，否则走自动探测
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self.rules_dir = rules_dir if rules_dir else _discover_rules_dir()
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def _load_rules(self) -> Any:
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"""委托给全局单例。"""
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try:
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import yara # noqa: F401 — 只是探测可用性
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except Exception: # noqa: BLE001
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return None
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return _get_global_yara(self.rules_dir)
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def scan(self, target: ScanTarget, ctx: Any) -> EngineResult:
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result = EngineResult(engine=self.name)
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rules = self._load_rules()
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if rules is None:
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result.ok = False
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result.error = "YARA 规则库不可用或编译失败"
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return result
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try:
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matches = rules.match(target.path)
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except Exception as exc: # noqa: BLE001
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result.ok = False
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result.error = f"YARA 匹配失败：{exc}"
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return result
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for match in matches:
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severity, weight = _judge_yara_rule(match.rule, match.tags)
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# 覆盖：如果 ctx 里的策略为该 YARA 规则定义了精细权重，用它
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try:
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policy = ctx.policy_engine.policy
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yara_weights = getattr(policy, "yara_weights", {}) or {}
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if match.rule in yara_weights:
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weight = float(yara_weights[match.rule])
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except Exception:
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pass # ctx 没有 policy 字段时保持默认 weight
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result.findings.append(
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Finding(
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engine=self.name,
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layer=self.layer,
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severity=severity,
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rule=match.rule,
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detail=f"YARA 规则 {match.rule} 命中（标签：{', '.join(match.tags) or '无'}）",
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weight=weight,
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meta={"tags": list(match.tags)},
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)
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)
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# rule_set_version 用全局 compiled 对象的 id（每次 reload 变）
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try:
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_r = _get_global_yara(self.rules_dir)
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result.meta["rule_set_version"] = str(id(_r)) if _r else "unavailable"
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except Exception:
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result.meta["rule_set_version"] = "unknown"
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return result
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def health(self) -> Dict[str, Any]:
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rules = self._load_rules()
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ok = rules is not None
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return {
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"engine": self.name,
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"version": "rules" if ok else "none",
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"ok": ok,
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"status": "ok" if ok else "degraded",
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"error": None if ok else "YARA 规则库未加载",
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"info": f"rules_dir={self.rules_dir}" if not ok else "rules loaded",
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}
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class BinaryEngine(Engine):
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"""PE/二进制文件结构分析引擎。"""
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name = "binary"
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layer = "L2B"
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def scan(self, target: ScanTarget, ctx: Any) -> EngineResult:
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result = EngineResult(engine=self.name)
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ext = (target.declared_ext or "").lower()
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if ext not in BINARY_EXTS:
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return result
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try:
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import pefile
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except Exception: # noqa: BLE001
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result.ok = False
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result.error = "pefile 未安装"
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return result
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try:
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pe = pefile.PE(target.path, fast_load=False)
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except Exception as exc: # noqa: BLE001
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result.findings.append(
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Finding(
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engine=self.name,
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layer=self.layer,
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severity=Severity.MEDIUM.value,
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rule="PeParseFailed",
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detail=f"PE 结构解析失败：{exc}",
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weight=10.0,
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)
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)
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return result
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try:
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result.findings.extend(self._analyze(pe, target))
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finally:
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try:
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pe.close()
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except Exception: # noqa: BLE001
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pass
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return result
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def _analyze(self, pe: Any, target: ScanTarget) -> List[Finding]:
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findings: List[Finding] = []
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# 1) 节区熵值：加密/加壳的节区熵接近 8
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for section in getattr(pe, "sections", []) or []:
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try:
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name = section.Name.rstrip(b"\x00").decode("utf-8", errors="replace")
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entropy = section.get_entropy()
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except Exception: # noqa: BLE001
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continue
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if entropy >= 7.2:
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findings.append(
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Finding(
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engine=self.name,
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layer=self.layer,
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severity=Severity.MEDIUM.value,
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rule="HighEntropySection",
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detail=f"节区 {name} 熵值 {entropy:.2f}，可能经过加密或加壳",
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weight=20.0,
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)
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)
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# 2) 可疑导入表
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suspicious_imports = self._suspicious_imports(pe)
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if suspicious_imports:
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findings.append(
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Finding(
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engine=self.name,
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layer=self.layer,
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severity=Severity.HIGH.value,
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rule="SuspiciousImports",
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detail=f"导入表包含高危 API：{', '.join(suspicious_imports[:8])}",
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weight=45.0,
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)
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)
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# 3) 无签名可执行文件
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if not self._has_signature(pe):
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findings.append(
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Finding(
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engine=self.name,
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layer=self.layer,
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severity=Severity.MEDIUM.value,
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rule="UnsignedExecutable",
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detail="可执行文件未携带数字签名",
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weight=20.0,
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)
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)
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# 4) 编译时间戳异常（明显晚于其他节区时间，或为 1970/未来时间）
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timestamp = getattr(pe, "FILE_HEADER", None)
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if timestamp is not None:
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try:
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ts = int(timestamp.TimeDateStamp)
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if ts == 0 or ts > 4102444800: # 2100 年之后
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findings.append(
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Finding(
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engine=self.name,
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layer=self.layer,
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severity=Severity.LOW.value,
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rule="SuspiciousTimestamp",
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detail="PE 编译时间戳异常，可能被伪造",
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weight=10.0,
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)
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)
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except Exception: # noqa: BLE001
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pass
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# 5) UPX 壳显式检测 —— 检查节名 UPX0 / UPX1 / UPX!
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upx_sections = []
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for section in getattr(pe, "sections", []) or []:
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try:
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name = section.Name.rstrip(b"\x00").decode("utf-8", errors="replace")
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if name.upper().startswith("UPX"):
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upx_sections.append(name)
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except Exception:
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continue
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if upx_sections:
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findings.append(
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Finding(
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engine=self.name,
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layer=self.layer,
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severity=Severity.MEDIUM.value,
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rule="UPXPackerDetected",
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detail=f"检测到 UPX 加壳节：{', '.join(upx_sections)}",
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weight=30.0,
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)
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)
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# 6) RWX 可写可执行节 —— 高危（绕过 DEP 的典型手法）
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from pefile import SECTION_CHARACTERISTICS # noqa: PLC0415
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MEM_EXECUTE = SECTION_CHARACTERISTICS["IMAGE_SCN_MEM_EXECUTE"]
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MEM_WRITE = SECTION_CHARACTERISTICS["IMAGE_SCN_MEM_WRITE"]
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rwx_sections = []
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for section in getattr(pe, "sections", []) or []:
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try:
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flags = section.Characteristics
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if (flags & MEM_EXECUTE) and (flags & MEM_WRITE):
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name = section.Name.rstrip(b"\x00").decode("utf-8", errors="replace")
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rwx_sections.append(name)
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except Exception:
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continue
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if rwx_sections:
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findings.append(
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Finding(
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engine=self.name,
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layer=self.layer,
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severity=Severity.HIGH.value,
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rule="RWXSectionDetected",
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detail=f"检测到可写且可执行的危险节：{', '.join(rwx_sections)}",
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weight=40.0,
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)
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)
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# 7) 32/64 位识别（info 级别，辅助判断）
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machine = None
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pe32 = None
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try:
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machine = int(pe.FILE_HEADER.Machine)
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pe32 = (pe.OPTIONAL_HEADER.Magic == 0x10B) # PE32
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except Exception:
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pass
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if machine is not None:
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try:
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from pefile import MACHINE_TYPES # noqa: PLC0415
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machine_name = MACHINE_TYPES.get(machine, f"UNKNOWN(0x{machine:04x})")
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except Exception:
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machine_name = f"0x{machine:04x}"
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bits = "32-bit" if pe32 else "64-bit"
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findings.append(
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Finding(
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engine=self.name,
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layer=self.layer,
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severity=Severity.LOW.value,
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rule="PEArchInfo",
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detail=f"PE 架构：{machine_name} / {bits}",
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weight=0.0,
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)
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)
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# 8) 调试信息（pdb 路径或 debug 节）
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has_debug_dir = False
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has_debug_section = False
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try:
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debug_dir = pe.OPTIONAL_HEADER.DATA_DIRECTORY[6] # IMAGE_DIRECTORY_ENTRY_DEBUG
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if debug_dir.VirtualAddress and debug_dir.Size:
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has_debug_dir = True
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except Exception:
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pass
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for section in getattr(pe, "sections", []) or []:
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try:
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name = section.Name.rstrip(b"\x00").decode("utf-8", errors="replace").lower()
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if ".debug" in name or name.startswith("debug") or name.startswith(".pdb"):
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has_debug_section = True
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break
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except Exception:
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continue
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if has_debug_dir or has_debug_section:
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findings.append(
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Finding(
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engine=self.name,
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layer=self.layer,
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severity=Severity.LOW.value,
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rule="DebugInformationPresent",
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detail="PE 包含调试信息（PDB 路径或 .debug 节），可用于逆向定位",
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weight=10.0,
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)
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)
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return findings
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def _suspicious_imports(self, pe: Any) -> List[str]:
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"""检测高危 API 导入。"""
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suspicious = {
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"VirtualAllocEx", "WriteProcessMemory", "CreateRemoteThread",
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"NtUnmapViewOfSection", "SetWindowsHookEx", "OpenProcess",
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"WinHttpOpen", "InternetOpenUrl", "URLDownloadToFile",
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"CryptEncrypt", "AdjustTokenPrivileges", "CreateService",
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"ShellExecute", "WinExec", "IsDebuggerPresent", "CheckRemoteDebuggerPresent",
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}
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found: List[str] = []
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try:
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for entry in getattr(pe, "DIRECTORY_ENTRY_IMPORT", []) or []:
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for imp in entry.imports:
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if imp.name:
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name = imp.name.decode("utf-8", errors="replace")
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if name in suspicious:
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found.append(name)
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except Exception: # noqa: BLE001
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pass
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return sorted(set(found))
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def _has_signature(self, pe: Any) -> bool:
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"""检查 PE 是否包含 Authenticode 签名目录。"""
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try:
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directory = pe.OPTIONAL_HEADER.DATA_DIRECTORY[4] # IMAGE_DIRECTORY_ENTRY_SECURITY
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return bool(directory.VirtualAddress and directory.Size)
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except Exception: # noqa: BLE001
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return False
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def _judge_yara_rule(rule: str, tags: List[str]) -> tuple[str, float]:
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"""依据 YARA 规则名与标签判定严重度。"""
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tag_set = {t.lower() for t in tags}
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text = f"{rule} {' '.join(tags)}".lower()
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if "critical" in tag_set or any(k in text for k in ("malware", "ransomware", "backdoor", "c2", "exploit")):
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return Severity.CRITICAL.value, 85.0
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if "high" in tag_set or any(k in text for k in ("trojan", "dropper", "obfusc", "shellcode")):
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return Severity.HIGH.value, 60.0
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if "medium" in tag_set or any(k in text for k in ("suspicious", "pua", "packer")):
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return Severity.MEDIUM.value, 30.0
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if "suspicious" in tag_set:
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return Severity.MEDIUM.value, 30.0
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return Severity.LOW.value, 10.0
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