网络安全 Analyzing Malware Persistence With Autoruns

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网络安全Claude Opus 4.7安全审计AnalyzingMalware

Analyzing Malware Persistence With Autoruns：网络安全 skill: analyzing-malware-persistence-with-aut，适用于安全分析、取证与威胁排查场景。

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Skill Documentation

网络安全 Analyzing Malware Persistence With Autoruns

摘要

Analyzing Malware Persistence With Autoruns：网络安全 skill: analyzing-malware-persistence-with-aut，适用于安全分析、取证与威胁排查场景。

> 来源: mukul975/Anthropic-Cybersecurity-Skills (18k stars) — 网络安全专业技能集

> 原文件: skills/analyzing-malware-persistence-with-autoruns/SKILL.md

> 模型推荐: claude-opus-4-7 (安全分析深度推理)

这个 skill 是干嘛的

mukul975 整理的 100+ 个网络安全专业 skill — 覆盖渗透测试 / 取证 / 威胁情报 / 合规审计 / 云安全 / 移动安全等领域。每个 skill 对应一个具体的安全分析任务。

michael 强调"skill 要有相应的指导功能,指导用户使用",所以加了下面两节让 Agent 和用户对接。

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🤖 Agent 使用说明

1. 用户提到"分析 X 日志 / 取证 / 检测威胁 / 渗透测试 / 安全审计"时触发对应 skill

2. skill 按操作步骤执行(取证镜像 / 解析日志 / 跑威胁情报)

3. 涉及破坏性操作前必须 ask user 确认

4. 完工后跑自检

5. 区分"防御性分析" vs "恶意代码审计"

👤 用户需要做什么?

1. 告诉 Agent 你要做什么(分析日志 / 取证 / 安全审计 / 渗透测试)

2. 按 Agent 提示提供文件/镜像/日志/哈希

3. 涉及破坏性操作时明确告诉 Agent"继续"或"取消"

4. 全程 Agent 自动化,你只需提供数据 + 回答决策点

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原 skill 内容(mukul975/Anthropic-Cybersecurity-Skills/skills/analyzing-malware-persistence-with-autoruns/SKILL.md,截断到 12k chars)

---

name: analyzing-malware-persistence-with-autoruns

description: Use Sysinternals Autoruns to systematically enumerate and analyze malware

persistence mechanisms across Windows registry run keys, scheduled tasks, services,

drivers, and startup locations. Use when hunting for persistence during Windows

incident response, triaging a compromised endpoint, or validating that malware

autostart entries have been fully identified and removed.

domain: cybersecurity

subdomain: malware-analysis

tags:

autoruns
persistence
malware-analysis
sysinternals
windows
registry
startup
incident-response

mitre_attack:

T1547.001
T1543.003
T1053.005
T1574.001
T1037.001

version: '1.0'

author: mahipal

license: Apache-2.0

d3fend_techniques:

Executable Denylisting
Execution Isolation
File Metadata Consistency Validation
Content Format Conversion
File Content Analysis

nist_csf:

DE.AE-02
RS.AN-03
ID.RA-01
DE.CM-01

---

Analyzing Malware Persistence with Autoruns

Overview

Sysinternals Autoruns extracts data from hundreds of Auto-Start Extensibility Points (ASEPs) on Windows, scanning 18+ categories including Run/RunOnce keys, services, scheduled tasks, drivers, Winlogon entries, LSA providers, print monitors, WMI subscriptions, and AppInit DLLs. Digital signature verification filters Microsoft-signed entries. The compare function identifies newly added persistence via baseline diffing. VirusTotal integration checks hash reputation. Offline analysis via -z flag enables forensic disk image examination.

When to Use

When investigating security incidents that require analyzing malware persistence with autoruns
When building detection rules or threat hunting queries for this domain
When SOC analysts need structured procedures for this analysis type
When validating security monitoring coverage for related attack techniques

Prerequisites

Sysinternals Autoruns (GUI) and Autorunsc (CLI)
Administrative privileges on target system
Python 3.9+ for automated analysis
VirusTotal API key for reputation checks
Clean baseline export for comparison

Workflow

Step 1: Automated Persistence Scanning

#!/usr/bin/env python3
"""Automate Autoruns-based persistence analysis."""
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("Unsigned binary")
            if not row.get("Description") and not row.get("Company"):
                reasons.append("Missing metadata")
            path = row.get("Image Path", "").lower()
            for sp in ["\temp\\", "\appdata\local\temp", "\users\public\\"]:
                if sp in path:
                    reasons.append(f"Suspicious path")
            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)} suspicious entries")
        for r in results:
            print(f"  {r.get('Entry','')} - {r.get('Image Path','')}")
            for reason in r.get('reasons', []):
                print(f"    - {reason}")

Validation Criteria

All ASEP categories scanned and cataloged
Unsigned entries flagged for investigation
Suspicious paths and LOLBin launch strings highlighted
Baseline comparison identifies new persistence mechanisms

References

[Sysinternals Autoruns](https://learn.microsoft.com/en-us/sysinternals/downloads/autoruns)
[SANS - Offline Autoruns Revisited](https://www.sans.org/blog/offline-autoruns-revisited-auditing-malware-persistence/)
[Hunting Malware with Autoruns](https://nasbench.medium.com/hunting-malware-with-windows-sysinternals-autoruns-19cbfe4103c2)
[MITRE ATT&CK T1547 - Boot or Logon Autostart](https://attack.mitre.org/techniques/T1547/)

常见问题（FAQ）

使用「Analyzing Malw」这个 skill 能解决什么问题?

本 skill 专注于Analyzing Malw，网络安全 skill: analyzing-malware-persistence-with-autoruns。它将相关流程标准化，帮助用户更快拿到可靠结果，减少重复手工操作。

什么情况下适合使用「Analyzing Malw」?

当你需要在Analyzing Malware Persistence With Autoruns相关工作中获得稳定、可复用的产出时最适合——无论是单次任务还是纳入日常工作流，都能直接调用。

使用「Analyzing Malw」前需要准备什么?

需要明确授权范围内的目标系统或样本文件，并准备隔离的分析环境（虚拟机/沙箱）。

FAQ