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Anthropic-Cybersecurity-Skills/skills/analyzing-persistence-mechanisms-in-linux/SKILL.md
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MAGIandJulio César Suástegui 15d53bd09b Fix MITRE ATT&CK mappings per CodeRabbit review: align techniques to skill content
- analyzing-malware-persistence-with-autoruns: add persistence techniques T1547, T1053, T1543, T1546
- analyzing-memory-dumps-with-volatility: add memory forensics techniques T1055, T1003, T1059, T1620
- analyzing-persistence-mechanisms-in-linux: add Linux-specific sub-techniques T1053.003, T1543.002, T1574.006, T1546.004
- analyzing-windows-prefetch-with-python: add execution techniques T1059, T1204, T1036
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2026-03-28 02:06:00 -06:00

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name, description, domain, subdomain, tags, mitre_attack, version, author, license
name description domain subdomain tags mitre_attack version author license
analyzing-persistence-mechanisms-in-linux Detect and analyze Linux persistence mechanisms including crontab entries, systemd service units, LD_PRELOAD hijacking, bashrc modifications, and authorized_keys backdoors using auditd and file integrity monitoring cybersecurity threat-hunting
linux-persistence
crontab
systemd
ld-preload
auditd
threat-hunting
incident-response
T1053.003
T1543.002
T1574.006
T1546.004
1.0 mahipal Apache-2.0

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