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.
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionperforming-fuzzing-with-aflplusplusExecute the skills CLI command in your project's root directory to begin installation:
Fetches performing-fuzzing-with-aflplusplus from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate performing-fuzzing-with-aflplusplus. Access via /performing-fuzzing-with-aflplusplus in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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| 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 |
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.
apt install afl++ or build from source)afl-cc or afl-clang-fastafl-cmin to remove redundant seedsafl-fuzz with appropriate flags (-i input -o output)afl-tmin minimization and CASR/GDB analysis+++ 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
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
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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.
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Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
performing-fuzzing-with-aflplusplus has been reliable in day-to-day use. Documentation quality is above average for community skills.
performing-fuzzing-with-aflplusplus has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: performing-fuzzing-with-aflplusplus is the kind of skill you can hand to a new teammate without a long onboarding doc.
performing-fuzzing-with-aflplusplus fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for performing-fuzzing-with-aflplusplus matched our evaluation — installs cleanly and behaves as described in the markdown.
We added performing-fuzzing-with-aflplusplus from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: performing-fuzzing-with-aflplusplus is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: performing-fuzzing-with-aflplusplus is focused, and the summary matches what you get after install.
performing-fuzzing-with-aflplusplus reduced setup friction for our internal harness; good balance of opinion and flexibility.
performing-fuzzing-with-aflplusplus reduced setup friction for our internal harness; good balance of opinion and flexibility.
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