performing-fuzzing-with-aflplusplus▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Perform coverage-guided fuzzing of compiled binaries using AFL++ (American Fuzzy Lop Plus Plus) to discover memory corruption, crashes, and security vulnerabilities. The tester instruments target binaries with afl-cc/afl-clang-fast, manages input corpora with afl-cmin and afl-tmin, runs parallel fuzzing campaigns with afl-fuzz, and triages crashes using CASR or GDB scripts. Activates for requests involving binary fuzzing, crash discovery, coverage-guided testing, or AFL++ fuzzing campaigns.
| name | performing-fuzzing-with-aflplusplus |
| description | 'Perform coverage-guided fuzzing of compiled binaries using AFL++ (American Fuzzy Lop Plus Plus) to discover memory corruption, crashes, and security vulnerabilities. The tester instruments target binaries with afl-cc/afl-clang-fast, manages input corpora with afl-cmin and afl-tmin, runs parallel fuzzing campaigns with afl-fuzz, and triages crashes using CASR or GDB scripts. Activates for requests involving binary fuzzing, crash discovery, coverage-guided testing, or AFL++ fuzzing campaigns. ' |
| domain | cybersecurity |
| subdomain | application-security |
| tags | - fuzzing - aflplusplus - coverage-guided - crash-triage - binary-analysis - security-testing |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_ai_rmf | - MEASURE-2.7 - MAP-5.1 - MANAGE-2.4 |
| atlas_techniques | - AML.T0070 - AML.T0066 - AML.T0082 |
| nist_csf | - PR.PS-01 - PR.PS-04 - ID.RA-01 - PR.DS-10 |
Performing Fuzzing with AFL++
Overview
AFL++ is a community-maintained fork of American Fuzzy Lop (AFL) that provides coverage-guided fuzzing for compiled binaries. It instruments targets at compile time or via QEMU/Unicorn mode for binary-only fuzzing, then mutates input corpora to discover new code paths. AFL++ includes advanced scheduling (MOpt, rare), custom mutators, CMPLOG for input-to-state comparison solving, and persistent mode for high-throughput fuzzing.
When to Use
- When conducting security assessments that involve performing fuzzing with aflplusplus
- When following incident response procedures for related security events
- When performing scheduled security testing or auditing activities
- When validating security controls through hands-on testing
Prerequisites
- AFL++ installed (
apt install afl++or build from source) - Target binary source code (for compile-time instrumentation) or QEMU mode for binary-only
- Initial seed corpus of valid inputs for the target format
- Linux system with /proc/sys/kernel/core_pattern configured
Steps
- Instrument the target binary with
afl-ccorafl-clang-fast - Prepare seed corpus directory with minimal valid inputs
- Minimize corpus with
afl-cminto remove redundant seeds - Run
afl-fuzzwith appropriate flags (-i input -o output) - Monitor fuzzing progress via afl-whatsup and UI stats
- Triage crashes with
afl-tminminimization and CASR/GDB analysis - Report unique crashes with reproduction steps
Expected Output
+++ Findings +++
unique crashes: 12
unique hangs: 3
last crash: 00:02:15 ago
+++ Coverage +++
map density: 4.23% / 8.41%
paths found: 1847
exec speed: 2145/sec
How to use performing-fuzzing-with-aflplusplus 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 performing-fuzzing-with-aflplusplus
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches performing-fuzzing-with-aflplusplus 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 performing-fuzzing-with-aflplusplus. Access the skill through slash commands (e.g., /performing-fuzzing-with-aflplusplus) 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★★★★★50 reviews- ★★★★★Dhruvi Jain· Dec 16, 2024
performing-fuzzing-with-aflplusplus has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Olivia Taylor· Dec 16, 2024
performing-fuzzing-with-aflplusplus has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Luis Ghosh· Dec 8, 2024
Keeps context tight: performing-fuzzing-with-aflplusplus is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Charlotte Thomas· Dec 8, 2024
performing-fuzzing-with-aflplusplus fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Liam Verma· Nov 27, 2024
Registry listing for performing-fuzzing-with-aflplusplus matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Charlotte Verma· Nov 27, 2024
We added performing-fuzzing-with-aflplusplus from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Rahul Santra· Nov 15, 2024
Solid pick for teams standardizing on skills: performing-fuzzing-with-aflplusplus is focused, and the summary matches what you get after install.
- ★★★★★Liam Johnson· Nov 15, 2024
Solid pick for teams standardizing on skills: performing-fuzzing-with-aflplusplus is focused, and the summary matches what you get after install.
- ★★★★★Oshnikdeep· Nov 7, 2024
performing-fuzzing-with-aflplusplus reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Advait Gill· Nov 7, 2024
performing-fuzzing-with-aflplusplus reduced setup friction for our internal harness; good balance of opinion and flexibility.
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