skills/analyzing-malware-persistence-with-autoruns/SKILL.md
使用 Sysinternals Autoruns 系统化识别和分析 Windows 系统上注册表键、计划任务、服务、驱动程序和启动位置中的恶意软件持久化机制。
npx skillsauth add killvxk/cybersecurity-skills-zh analyzing-malware-persistence-with-autorunsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Sysinternals Autoruns 从 Windows 上的数百个自动启动扩展点(ASEP)提取数据,扫描 18 个以上类别,包括 Run/RunOnce 键、服务、计划任务、驱动程序、Winlogon 条目、LSA 提供程序、打印监视器、WMI 订阅和 AppInit DLL。数字签名验证过滤 Microsoft 签名条目。比较功能通过基线差异识别新增的持久化机制。VirusTotal 集成检查哈希信誉。通过 -z 标志进行离线分析,支持取证磁盘镜像检查。
#!/usr/bin/env python3
"""自动化基于 Autoruns 的持久化分析。"""
import subprocess
import csv
import json
import sys
def scan_and_analyze(autorunsc_path="autorunsc64.exe", csv_path="scan.csv"):
cmd = [autorunsc_path, "-a", "*", "-c", "-h", "-s", "-nobanner", "*"]
result = subprocess.run(cmd, capture_output=True, text=True, timeout=600)
with open(csv_path, 'w') as f:
f.write(result.stdout)
return parse_and_flag(csv_path)
def parse_and_flag(csv_path):
suspicious = []
with open(csv_path, 'r', errors='replace') as f:
for row in csv.DictReader(f):
reasons = []
signer = row.get("Signer", "")
if not signer or signer == "(Not verified)":
reasons.append("未签名的二进制文件")
if not row.get("Description") and not row.get("Company"):
reasons.append("缺少元数据")
path = row.get("Image Path", "").lower()
for sp in ["\temp\\", "\appdata\local\temp", "\users\public\\"]:
if sp in path:
reasons.append(f"可疑路径")
launch = row.get("Launch String", "").lower()
for kw in ["powershell", "cmd /c", "wscript", "mshta", "regsvr32"]:
if kw in launch:
reasons.append(f"LOLBin:{kw}")
if reasons:
row["reasons"] = reasons
suspicious.append(row)
return suspicious
if __name__ == "__main__":
if len(sys.argv) > 1:
results = parse_and_flag(sys.argv[1])
print(f"[!] {len(results)} 个可疑条目")
for r in results:
print(f" {r.get('Entry','')} - {r.get('Image Path','')}")
for reason in r.get('reasons', []):
print(f" - {reason}")
testing
设计并执行社会工程学渗透测试,包括钓鱼、语音钓鱼、短信钓鱼和物理借口活动,以衡量人员安全韧性并识别培训差距。
testing
主持结构化的事件后审查,以识别根本原因、记录有效和无效的措施,并提出可操作的改进建议以提升未来的事件响应能力。
testing
通过分析举报的邮件、提取指标、评估凭据受攻陷情况、在全组织范围隔离恶意邮件并修复受影响账号来响应网络钓鱼事件。涵盖邮件头分析、URL/附件沙箱检测和邮箱范围清除操作。适用于网络钓鱼响应、邮件事件、凭据钓鱼、鱼叉式网络钓鱼调查或钓鱼修复相关请求。
tools
票据传递(Pass-the-Ticket,PtT)是一种横向移动技术,使用窃取的 Kerberos 票据(TGT 或 TGS)在不知道用户密码的情况下向服务进行认证。通过从已控制的主机内存中提取 Kerberos 票据,攻击者可以将这些票据注入自己的会话以模拟票据所有者。