Communitygithub.com

Linux 持久化機制分析

掃描 Linux 系統中的持久化機制，包括 crontab/systemd 條目、LD_PRELOAD 注入、Shell 設定檔修改 (.bashrc, .profile) 以及 SSH authorized_keys 後門，並將發現結果與 auditd 日誌關聯，建立安裝時間線。用於事件應變或威脅狩獵，以偵測或確認攻擊者如何在受入侵的 Linux 主機上維持存取。

Linux 持久化機制分析 是什麼？

這項技能專門用於分析 Linux 系統中的持久化機制，協助安全分析師在事件應變或威脅狩獵期間，快速識別並確認攻擊者如何維持對受入侵主機的存取。它會全面掃描 crontab 工作、systemd 服務/計時器單元、LD_PRELOAD 共享函式庫注入、Shell 設定檔 (.bashrc, .profile) 修改、SSH authorized_keys 後門以及 init 腳本操縱等已知的持久化向量。該技能不僅檢查檔案時間戳記與完整性，還會將發現結果與 auditd 日誌進行關聯，以建立一套詳細的持久化安裝時間線。最終產出一份包含 MITRE ATT&CK 技術對應 (如 T1053, T1543, T1574, T1546) 的風險評分報告，並提供每個偵測到之持久化機制的補救指令。此技能支援在具有 root 或 sudo 權限的目標 Linux 系統上執行，或直接分析鑑識映像檔，且建議預先配置 auditd 以監控相關的檔案系統路徑。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-persistence-mechanisms-in-linux
查看原文→瀏覽所有技能

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

說明文件

分析 Linux 中的持久化機制

概述

攻擊者透過 crontab 工作、systemd 服務/計時器單元、LD_PRELOAD 函式庫注入、Shell 設定檔修改 (.bashrc, .profile)、SSH authorized_keys 後門以及 init 腳本操縱，在 Linux 系統上建立持久化。本技能會掃描所有已知的持久化向量，檢查檔案時間戳記與完整性，並將發現結果與 auditd 日誌關聯，以建立持久化安裝的時間線。

使用時機

  • 調查需要分析 Linux 持久化機制的安全事件時
  • 建立此領域的偵測規則或威脅狩獵查詢時
  • SOC 分析師需要此分析類型的結構化程序時
  • 驗證相關攻擊技術的安全監控覆蓋範圍時

先決條件

  • 目標 Linux 系統的 root 或 sudo 存取權限（或鑑識映像檔）
  • 已設定 auditd 並在持久化路徑上配置檔案監控規則
  • Python 3.8+ 及標準函式庫 (os, subprocess, json)
  • 可選：用於檔案完整性監控警報的 OSSEC/Wazuh 代理程式

步驟

  1. 掃描 Crontab 條目 — 列舉所有使用者的 crontab、/etc/cron.d/、/etc/cron.daily/ 以及 anacron 工作中的可疑指令
  2. 審核 Systemd 單元 — 檢查 /etc/systemd/system/ 和 ~/.config/systemd/user/ 中非套件管理的服務與計時器單元
  3. 偵測 LD_PRELOAD 劫持 — 檢查 /etc/ld.so.preload 和 LD_PRELOAD 環境變數中是否有被注入的共享函式庫
  4. 檢查 Shell 設定檔 — 掃描 .bashrc、.bash_profile、.profile、/etc/profile.d/ 中是否有被注入的指令或反向 Shell
  5. 檢查 SSH 授權金鑰 — 審核所有 authorized_keys 檔案中未經授權的公開金鑰，特別是具有指令限制者
  6. 關聯 Auditd 日誌 — 在 auditd 日誌中搜尋持久化路徑上的檔案修改事件，以建立安裝時間線
  7. 產生持久化報告 — 產出一份包含風險評分的所有發現之持久化機制報告

預期輸出

  • 包含所有發現之持久化機制及其風險評分的 JSON 報告
  • 透過 auditd 關聯產生的持久化安裝時間線
  • MITRE ATT&CK 技術對應 (T1053, T1543, T1574, T1546)
  • 針對每個偵測到的持久化機制之補救指令

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

abusing-dpapi-for-credential-access

Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket

abusing-shadow-credentials-for-privesc

Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target

achieving-cmmc-level-2-compliance

>-

acquiring-disk-image-with-dd-and-dcfldd

Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.

analyzing-active-directory-acl-abuse

Detect dangerous ACL misconfigurations in Active Directory using ldap3

analyzing-android-malware-with-apktool

Perform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically triage a suspicious APK without executing it or to build mobile malware detection rules.

analyzing-api-gateway-access-logs

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect

analyzing-apt-group-with-mitre-navigator

Query ATT&CK data with attackcti, mitreattack-python, and stix2, then build MITRE ATT&CK Navigator layers and multi-layer heatmap overlays mapping one or more APT groups

analyzing-azure-activity-logs-for-threats

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query

analyzing-bootkit-and-rootkit-samples

Analyzes bootkit and advanced rootkit malware infecting the Master

analyzing-browser-forensics-with-hindsight

Parse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user

analyzing-campaign-attribution-evidence

Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.

analyzing-certificate-transparency-for-phishing

Monitor Certificate Transparency logs using crt.sh and Certstream to

analyzing-cloud-storage-access-patterns

Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when investigating suspected cloud data exfiltration or building related detection rules.

analyzing-cobalt-strike-beacon-configuration

Extract and analyze Cobalt Strike beacon configuration from PE files

analyzing-cobaltstrike-malleable-c2-profiles

Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic.

analyzing-command-and-control-communication

Analyzes malware C2 communication over HTTP, HTTPS, DNS, and custom

analyzing-cyber-kill-chain

Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain

analyzing-disk-image-with-autopsy

Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.

analyzing-dns-logs-for-exfiltration

Analyzes DNS query logs to detect data exfiltration via DNS tunneling,

相關技能

steipete/video-frames

Extract frames or short clips from videos using ffmpeg.

community

steipete/summarize

Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.

community

openclaw/openclaw

Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.

community

obra/superpowers

Obra superpowers agent skills.

community

affaan-m/ECC

See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...

community

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

community