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Expert guidance for ffuf web fuzzing during penetration testing, including authenticated fuzzing with raw requests, auto-calibration, and result analysis
Passed 20 of 24 test cases with the skill, and 14 of 24 without it.
and 3 more in the full report
6 fixed14 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am preparing an IDOR vulnerability test where I need a list of sequential numeric IDs from 1 to 10000 saved into `ids.txt`. What python command using the included helper script generates this numerical wordlist?
| Checked | Without skill | With skill |
|---|---|---|
| The command invokes python3 ffuf_helper.py wordlist with range parameters 1 to 10000 saving to ids.txt. | Missed | Passed |
The instructions your model reads when the skill loads.
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/latest
The 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 FUZZtest cases passed, vs 14 / 24 without
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