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fuzz

Skill12 starsChanged 4 months agoMITView on GitHub

Lightweight web fuzzing via ffuf — directory discovery, parameter testing, subdomain enumeration.

  • Installs packages

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 1 is distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    If no wordlists found: brew install seclists

    line 42
  2. Distinctive:

    Start with small wordlists, expand if needed

    line 96
  3. Very specific:

    Use -rate 100 to limit requests per second (avoid DoS)

    line 97
  4. Very specific:

    Use -t 40 to control thread count (default: 40)

    line 98
  5. Very specific:

    Run once without filters, note the common response size, then add -fs

    line 99

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Fuzz — Web Fuzzing with ffuf

Lightweight web application fuzzing using ffuf.

Prerequisites

command -v ffuf && ffuf -V

If not installed:

brew install ffuf    # macOS
# or
go install github.com/ffuf/ffuf/v2@latest

Common Wordlists

/usr/share/wordlists/                          # Kali default
/opt/homebrew/share/wordlists/                 # Homebrew
~/.local/share/wordlists/                      # User-local

# SecLists (install: brew install seclists)
/opt/homebrew/share/seclists/Discovery/Web-Content/common.txt
/opt/homebrew/share/seclists/Discovery/Web-Content/directory-list-2.3-medium.txt
/opt/homebrew/share/seclists/Discovery/DNS/subdomains-top1million-5000.txt
/opt/homebrew/share/seclists/Fuzzing/LFI/LFI-Jhaddix.txt

If no wordlists found: brew install seclists

Usage Patterns

Directory / File Discovery

ffuf -u https://TARGET/FUZZ -w wordlist.txt -mc 200,301,302,403

API Endpoint Discovery

ffuf -u https://TARGET/api/FUZZ -w wordlist.txt -mc 200,401,403,405

Parameter Fuzzing (GET)

ffuf -u "https://TARGET/page?FUZZ=value" -w params.txt -mc 200 -fs 4242

POST Data Fuzzing

ffuf -u https://TARGET/login -X POST \
  -d "username=admin&password=FUZZ" \
  -w passwords.txt -mc 200 -fc 401

Subdomain Enumeration

ffuf -u https://FUZZ.TARGET.com -w subdomains.txt -mc 200,301,302

Authenticated Fuzzing

ffuf -u https://TARGET/api/FUZZ -w wordlist.txt \
  -H "Authorization: Bearer <token>" \
  -H "Cookie: session=<value>" \
  -mc 200,201,403

Filtering Options

  • -mc 200,301 — match HTTP status codes
  • -fc 404,500 — filter (exclude) status codes
  • -fs 4242 — filter by response size (removes noise)
  • -fw 12 — filter by word count
  • -fr "not found" — filter by regex in response

Output

ffuf -u https://TARGET/FUZZ -w wordlist.txt -o results.json -of json

Tips

  • Start with small wordlists, expand if needed
  • Use -rate 100 to limit requests per second (avoid DoS)
  • Use -t 40 to control thread count (default: 40)
  • Run once without filters, note the common response size, then add -fs
  • Combine with -recursion -recursion-depth 2 for recursive discovery

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