detecting-living-off-the-land-with-lolbas▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Detect Living Off the Land Binaries (LOLBins/LOLBAS) abuse including certutil, regsvr32, mshta, and rundll32 via process telemetry, Sigma rules, and parent-child process analysis
| name | detecting-living-off-the-land-with-lolbas |
| description | Detect Living Off the Land Binaries (LOLBins/LOLBAS) abuse including certutil, regsvr32, mshta, and rundll32 via process telemetry, Sigma rules, and parent-child process analysis |
| domain | cybersecurity |
| subdomain | threat-detection |
| tags | - lolbas - lolbins - sigma-rules - process-monitoring - sysmon - endpoint-detection - threat-hunting |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| d3fend_techniques | - Executable Denylisting - Execution Isolation - File Metadata Consistency Validation - Application Protocol Command Analysis - Content Format Conversion |
| nist_csf | - DE.CM-01 - DE.AE-02 - DE.AE-06 - ID.RA-05 |
Detecting Living Off the Land with LOLBAS
Overview
Living Off the Land Binaries, Scripts, and Libraries (LOLBAS) are legitimate system utilities abused by attackers to execute malicious actions while evading detection. This skill covers detecting abuse of certutil.exe, regsvr32.exe, mshta.exe, rundll32.exe, msbuild.exe, and other LOLBins using process telemetry from Sysmon and Windows Event Logs, combined with Sigma rule-based detection.
When to Use
- When investigating security incidents that require detecting living off the land with lolbas
- 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
- Sysmon or Windows Security Event Log (Event ID 4688) with command-line logging enabled
- Sigma rule conversion tool (sigmac or sigma-cli)
- SIEM platform (Splunk, Elastic, or similar) for log ingestion
- Python 3.8+ with pySigma library
- LOLBAS project reference database
Steps
- Establish LOLBin Watchlist — Build a prioritized list of monitored binaries (certutil, mshta, regsvr32, rundll32, msbuild, installutil, cmstp, wmic, bitsadmin)
- Collect Process Telemetry — Ingest Sysmon Event ID 1 (Process Create) and Windows 4688 events with full command-line capture
- Build Sigma Detection Rules — Create Sigma rules matching suspicious command-line arguments, network activity, and parent-child process anomalies for each LOLBin
- Analyze Parent-Child Relationships — Flag unexpected parent processes spawning LOLBins (e.g., Excel spawning certutil, Word spawning mshta)
- Score and Prioritize Alerts — Apply risk scoring based on argument anomaly, parent process, execution path, and network indicators
- Generate Detection Report — Produce a structured report of all LOLBin abuse detections with MITRE ATT&CK mapping
Expected Output
- JSON report listing detected LOLBin abuse events with severity scores
- MITRE ATT&CK technique mapping for each detection (T1218, T1105, T1140, T1127)
- Parent-child process anomaly analysis
- Sigma rule match details with raw event data
How to use detecting-living-off-the-land-with-lolbas 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 detecting-living-off-the-land-with-lolbas
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches detecting-living-off-the-land-with-lolbas 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 detecting-living-off-the-land-with-lolbas. Access the skill through slash commands (e.g., /detecting-living-off-the-land-with-lolbas) 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
4.7★★★★★51 reviews- ★★★★★Yuki Chen· Dec 28, 2024
I recommend detecting-living-off-the-land-with-lolbas for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Layla Gonzalez· Dec 24, 2024
detecting-living-off-the-land-with-lolbas reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Layla Ndlovu· Dec 16, 2024
detecting-living-off-the-land-with-lolbas is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Yuki Patel· Nov 19, 2024
detecting-living-off-the-land-with-lolbas fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Layla Torres· Nov 15, 2024
Registry listing for detecting-living-off-the-land-with-lolbas matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Anaya Iyer· Nov 7, 2024
Keeps context tight: detecting-living-off-the-land-with-lolbas is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Neel Thompson· Oct 26, 2024
detecting-living-off-the-land-with-lolbas has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Arya Huang· Oct 10, 2024
Registry listing for detecting-living-off-the-land-with-lolbas matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Layla Harris· Oct 6, 2024
detecting-living-off-the-land-with-lolbas fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Advait Lopez· Oct 2, 2024
detecting-living-off-the-land-with-lolbas fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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