analyzing-persistence-mechanisms-in-linux▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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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
| name | analyzing-persistence-mechanisms-in-linux |
| description | 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 |
| 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 |
| 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
- Scan Crontab Entries — Enumerate all user crontabs, /etc/cron.d/, /etc/cron.daily/, and anacron jobs for suspicious commands
- Audit Systemd Units — Check /etc/systemd/system/ and ~/.config/systemd/user/ for non-package-managed service and timer units
- Detect LD_PRELOAD Hijacking — Check /etc/ld.so.preload and LD_PRELOAD environment variable for injected shared libraries
- Inspect Shell Profiles — Scan .bashrc, .bash_profile, .profile, /etc/profile.d/ for injected commands or reverse shells
- Check SSH Authorized Keys — Audit all authorized_keys files for unauthorized public keys with command restrictions
- Correlate Auditd Logs — Search auditd logs for file modification events on persistence paths to build an installation timeline
- 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
How to use analyzing-persistence-mechanisms-in-linux on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add analyzing-persistence-mechanisms-in-linux
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches analyzing-persistence-mechanisms-in-linux from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate analyzing-persistence-mechanisms-in-linux. Access the skill through slash commands (e.g., /analyzing-persistence-mechanisms-in-linux) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★66 reviews- ★★★★★Lucas Srinivasan· Dec 28, 2024
We added analyzing-persistence-mechanisms-in-linux from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ama Liu· Dec 28, 2024
Solid pick for teams standardizing on skills: analyzing-persistence-mechanisms-in-linux is focused, and the summary matches what you get after install.
- ★★★★★Xiao Mehta· Dec 24, 2024
I recommend analyzing-persistence-mechanisms-in-linux for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Lucas Verma· Dec 24, 2024
analyzing-persistence-mechanisms-in-linux reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ishan Wang· Dec 8, 2024
Keeps context tight: analyzing-persistence-mechanisms-in-linux is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Soo Lopez· Dec 8, 2024
I recommend analyzing-persistence-mechanisms-in-linux for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Anderson· Nov 27, 2024
Registry listing for analyzing-persistence-mechanisms-in-linux matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Jin Perez· Nov 19, 2024
analyzing-persistence-mechanisms-in-linux has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Xiao Jain· Nov 15, 2024
Useful defaults in analyzing-persistence-mechanisms-in-linux — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Lucas Singh· Oct 18, 2024
Useful defaults in analyzing-persistence-mechanisms-in-linux — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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