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/analyzing-persistence-mechanisms-in-linux

Scan Linux systems for persistence mechanisms including crontab/systemd entries, LD_PRELOAD injection, shell profile modifications (.bashrc, .profile), and SSH authorized_keys backdoors, then correlate findings with auditd logs into an installation timeline. Use during incident

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cybersecurity-skills
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$ npx -y skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-persistence-mechanisms-in-linux --agent claude-code

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  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
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Scan Linux systems for persistence mechanisms including crontab/systemd entries, LD_PRELOAD injection, shell profile modifications (.bashrc, .profile), and SSH authorized_keys backdoors, then correlate findings with auditd logs into an installation timeline. Use during incident

SKILL.md

analyzing-persistence-mechanisms-in-linux.SKILL.md
name: analyzing-persistence-mechanisms-in-linux
description: Scan Linux systems for persistence mechanisms including crontab/systemd entries, LD_PRELOAD injection, shell profile modifications (.bashrc, .profile), and SSH authorized_keys backdoors, then correlate findings with auditd logs into an installation timeline. Use during incident response or threat hunting to detect or confirm how an adversary maintained access to a compromised Linux host.
domain: cybersecurity
subdomain: threat-hunting
tags:
- linux-persistence
- crontab
- systemd
- ld-preload
- auditd
- threat-hunting
- incident-response
mitre_attack:
- T1053.003
- T1543.002
- T1574.006
- T1546.004
- T1098.004
version: '1.0'
author: mahipal
license: Apache-2.0
d3fend_techniques:
- Executable Denylisting
- Execution Isolation
- File Metadata Consistency Validation
- Process Termination
- Content Format Conversion
nist_csf:
- DE.CM-01
- DE.AE-02
- DE.AE-07
- ID.RA-05

Analyzing Persistence Mechanisms in Linux

Overview

Adversaries establish persistence on Linux systems through crontab jobs, systemd service/timer units, LD_PRELOAD library injection, shell profile modifications (.bashrc, .profile), SSH authorized_keys backdoors, and init script manipulation. This skill scans for all known persistence vectors, checks file timestamps and integrity, and correlates findings with auditd logs to build a timeline of persistence installation.

When to Use

  • When investigating security incidents that require analyzing persistence mechanisms in linux
  • 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

  • Root or sudo access on target Linux system (or forensic image)
  • auditd configured with file watch rules on persistence paths
  • Python 3.8+ with standard library (os, subprocess, json)
  • Optional: OSSEC/Wazuh agent for file integrity monitoring alerts

Steps

1. **Scan Crontab Entries** — Enumerate all user crontabs, /etc/cron.d/, /etc/cron.daily/, and anacron jobs for suspicious commands 2. **Audit Systemd Units** — Check /etc/systemd/system/ and ~/.config/systemd/user/ for non-package-managed service and timer units 3. **Detect LD_PRELOAD Hijacking** — Check /etc/ld.so.preload and LD_PRELOAD environment variable for injected shared libraries 4. **Inspect Shell Profiles** — Scan .bashrc, .bash_profile, .profile, /etc/profile.d/ for injected commands or reverse shells 5. **Check SSH Authorized Keys** — Audit all authorized_keys files for unauthorized public keys with command restrictions 6. **Correlate Auditd Logs** — Search auditd logs for file modification events on persistence paths to build an installation timeline 7. **Generate Persistence Report** — Produce a risk-scored report of all discovered persistence mechanisms

Expected Output

  • JSON report of all persistence mechanisms found with risk scores
  • Timeline of persistence installation from auditd correlation
  • MITRE ATT&CK technique mapping (T1053, T1543, T1574, T1546)
  • Remediation commands for each detected persistence mechanism
Read more
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817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0

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