FFUF Web Fuzzing
Guidance for using ffuf (Fuzz Faster U Fool) effectively during authorized penetration testing.
Prerequisites
ffuf must be installed: brew install ffuf (macOS) or go install github.com/ffuf/ffuf/v2@latest
When to Use
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Running directory, file, or subdomain discovery against web targets
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Fuzzing API endpoints, parameters, or POST data
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Authenticated fuzzing with raw HTTP requests
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Analyzing ffuf JSON output for anomalies and interesting findings
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Building fuzzing strategies (wordlist selection, filtering, rate limiting)
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IDOR testing with authenticated sessions
When NOT to Use
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Target system is not in scope or authorization is unclear
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Passive reconnaissance is more appropriate (use OSINT tools instead)
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The target is a production system and rate limiting hasn't been configured
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You need a full vulnerability scanner (use Burp Suite, Nuclei, etc.)
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Testing for logic flaws that require multi-step interaction
Rationalizations to Reject
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"Auto-calibration is optional" -- -ac is mandatory. Without it, results are buried in false positives and analysis is wasted effort.
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"More threads = faster results" -- Hammering a target with -t 200 triggers WAFs, gets you blocked, and may crash staging environments. Start with -t 10 -rate 2 for production targets.
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"I'll filter later" -- Set up filtering before the scan. Running a 220k wordlist without filters and then trying to grep through the noise is backwards.
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"The default wordlist is fine" -- Wordlist selection is the most important decision. A generic wordlist misses technology-specific paths. See references/wordlists.md.
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"Raw requests are too much work" -- For authenticated fuzzing, --request req.txt is simpler and more reliable than chaining -H and -b flags. Capture once, fuzz many times.
Critical Rules
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Always use -ac (auto-calibration) unless you have a specific, documented reason not to
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Always save output with -o results.json for later analysis
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Rate limit production targets with -rate and -t flags
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Use --request for auth -- raw request files beat command-line header chains
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Confirm authorization first -- before running any scan, verify the user has written permission for the target. Ask if unclear.
Core Concepts
The FUZZ Keyword
In URL path
ffuf -w wordlist.txt -u https://target.com/FUZZ -ac
In headers
ffuf -w wordlist.txt -u https://target.com -H "Host: FUZZ.target.com" -ac
In POST body
ffuf -w wordlist.txt -X POST -d "user=admin&pass=FUZZ" -u https://target.com/login -ac
Multiple positions with custom keywords
ffuf -w endpoints.txt:EP -w ids.txt:ID -u https://target.com/EP/ID -mode pitchfork -ac
Auto-Calibration
-ac automatically detects and filters repetitive false-positive responses. It adapts to the target's specific behavior and removes noise from dynamic content.
ffuf -w wordlist.txt -u https://target.com/FUZZ -ac # Standard ffuf -w wordlist.txt -u https://target.com/FUZZ -ach # Per-host (multi-host scans) ffuf -w wordlist.txt -u https://target.com/FUZZ -acc "404" # Custom calibration string
Common Patterns
Directory Discovery
ffuf -w /opt/SecLists/Discovery/Web-Content/raft-large-directories.txt
-u https://target.com/FUZZ -e .php,.html,.txt,.bak
-ac -c -v -o results.json
Subdomain Enumeration
ffuf -w /opt/SecLists/Discovery/DNS/subdomains-top1million-5000.txt
-u https://FUZZ.target.com -ac -c -v -o results.json
API Endpoint Discovery
ffuf -w /opt/SecLists/Discovery/Web-Content/api/api-endpoints.txt
-u https://api.target.com/v1/FUZZ
-H "Authorization: Bearer YOUR_TOKEN_HERE" -mc 200,201 -ac -c
Authenticated Fuzzing with Raw Requests
Capture a full authenticated request, save to req.txt , insert FUZZ :
POST /api/v1/users/FUZZ HTTP/1.1 Host: target.com Authorization: Bearer YOUR_TOKEN_HERE Cookie: session=YOUR_SESSION_ID Content-Type: application/json
{"action":"view","id":"1"}
ffuf --request req.txt -w wordlist.txt -ac -o results.json
See references/request-templates.md for pre-built templates covering bearer tokens, session cookies, API keys, and GraphQL.
Authenticated Fuzzing: Agent Workflow
Authenticated fuzzing requires real credentials that the agent cannot obtain independently. When the user asks for authenticated fuzzing:
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Ask the user to provide ONE of:
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A raw HTTP request file (req.txt ) with auth headers already included
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A curl command from browser DevTools (convert it to req.txt format)
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Individual credentials (Bearer token, session cookie, API key)
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If given a curl command, convert it to raw HTTP request format and write to req.txt
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If given individual credentials, use a template from references/request-templates.md and substitute real values
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Never fabricate or guess authentication tokens
IDOR Testing
ffuf --request req.txt -w <(seq 1 10000) -ac -mc 200 -o idor_results.json
Rate Limiting
Environment Flags Notes
Production (stealth) -rate 2 -t 10
Avoid WAF triggers
Production (normal) -rate 10 -t 20
Balanced
Staging/Dev -rate 50 -t 40
Faster
Local/Lab No limit, -t 100
Maximum speed
Analyzing Results
Save output as JSON (-o results.json ), then read the file and focus on:
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Anomalous status codes -- anything other than the baseline 404/403
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Size outliers -- responses significantly larger or smaller than average
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Interesting keywords in URLs -- admin, api, backup, config, .git, .env
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Timing anomalies -- slow responses may indicate SQL injection or heavy processing
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Follow-up targets -- interesting findings warrant deeper fuzzing
Use -fs to filter by response size and -fc to filter by status code when auto-calibration isn't sufficient. Run ffuf -h for the full list of match/filter flags.
References
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Wordlist selection guide -- recommended SecLists by scenario
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Authenticated request templates -- pre-built req.txt for bearer tokens, cookies, API keys
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ffuf official docs
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SecLists