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efca3ec611
Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions) based on subdomain and content analysis. Restores 11 skills corrupted during prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields. All 754 skills now carry structured mappings for all 5 security frameworks: - MITRE ATT&CK (in tags) - MITRE ATLAS v5.5 (atlas_techniques) - MITRE D3FEND v1.3 (d3fend_techniques) - NIST AI RMF 1.0 (nist_ai_rmf) - NIST CSF 2.0 (nist_csf)
2.6 KiB
2.6 KiB
name, description, domain, subdomain, tags, version, author, license, nist_ai_rmf, atlas_techniques, nist_csf
| name | description | domain | subdomain | tags | version | author | license | nist_ai_rmf | atlas_techniques | nist_csf | ||||||||||||||||
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| performing-fuzzing-with-aflplusplus | 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. | cybersecurity | application-security |
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1.0 | mahipal | Apache-2.0 |
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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