ffuf-web-fuzzing — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited ffuf-web-fuzzing (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
ffuf during authorized security testing or penetration testing.FFUF is a fast web fuzzer written in Go, designed for discovering hidden content, directories, files, subdomains, and testing for vulnerabilities during penetration testing. It's significantly faster than traditional tools like dirb or dirbuster.
# Using Go
go install github.com/ffuf/ffuf/v2@latest
# Using Homebrew (macOS)
brew install ffuf
# Binary download
# Download from: https://github.com/ffuf/ffuf/releases/latestThe FUZZ keyword is used as a placeholder that gets replaced with entries from your wordlist. You can place it anywhere:
https://target.com/FUZZ-H "Host: FUZZ"-d "username=admin&password=FUZZ"-w wordlist.txt:CUSTOM then use CUSTOM instead of FUZZ# Basic directory fuzzing
ffuf -w /path/to/wordlist.txt -u https://target.com/FUZZ
# With file extensions
ffuf -w /path/to/wordlist.txt -u https://target.com/FUZZ -e .php,.html,.txt,.pdf
# Colored and verbose output
ffuf -w /path/to/wordlist.txt -u https://target.com/FUZZ -c -v
# With recursion (finds nested directories)
ffuf -w /path/to/wordlist.txt -u https://target.com/FUZZ -recursion -recursion-depth 2# Virtual host discovery
ffuf -w /path/to/subdomains.txt -u https://target.com -H "Host: FUZZ.target.com" -fs 4242
# Note: -fs 4242 filters out responses of size 4242 (adjust based on default response size)# GET parameter names
ffuf -w /path/to/params.txt -u https://target.com/script.php?FUZZ=test_value -fs 4242
# GET parameter values
ffuf -w /path/to/values.txt -u https://target.com/script.php?id=FUZZ -fc 401
# Multiple parameters
ffuf -w params.txt:PARAM -w values.txt:VAL -u https://target.com/?PARAM=VAL -mode clusterbomb# Basic POST fuzzing
ffuf -w /path/to/passwords.txt -X POST -d "username=admin&password=FUZZ" -u https://target.com/login.php -fc 401
# JSON POST data
ffuf -w entries.txt -u https://target.com/api -X POST -H "Content-Type: application/json" -d '{"name": "FUZZ", "key": "value"}' -fr "error"
# Fuzzing multiple POST fields
ffuf -w users.txt:USER -w passes.txt:PASS -X POST -d "username=USER&password=PASS" -u https://target.com/login -mode pitchfork# Custom headers
ffuf -w /path/to/wordlist.txt -u https://target.com -H "X-Custom-Header: FUZZ"
# Multiple headers
ffuf -w /path/to/wordlist.txt -u https://target.com -H "User-Agent: FUZZ" -H "X-Forwarded-For: 127.0.0.1"-mc: Match status codes (default: 200-299,301,302,307,401,403,405,500)-ml: Match line count-mr: Match regex-ms: Match response size-mt: Match response time (e.g., >100 or <100 milliseconds)-mw: Match word count-fc: Filter status codes (e.g., -fc 404,403,401)-fl: Filter line count-fr: Filter regex (e.g., -fr "error")-fs: Filter response size (e.g., -fs 42,4242)-ft: Filter response time-fw: Filter word countCRITICAL: Always use -ac unless you have a specific reason not to. This is especially important when having Claude analyze results, as it dramatically reduces noise and false positives.
# Auto-calibration - ALWAYS USE THIS
ffuf -w /path/to/wordlist.txt -u https://target.com/FUZZ -ac
# Per-host auto-calibration (useful for multiple hosts)
ffuf -w /path/to/wordlist.txt -u https://target.com/FUZZ -ach
# Custom auto-calibration string (for specific patterns)
ffuf -w /path/to/wordlist.txt -u https://target.com/FUZZ -acc "404NotFound"Why `-ac` is essential:
When Claude analyzes your ffuf results, `-ac` is MANDATORY - without it, Claude will waste time sifting through thousands of false positives instead of finding the interesting anomalies.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.