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xss0r –crawler is a powerful tool designed for bug bounty hunters and penetration testers to efficiently process large sets of URLs, filtering out irrelevant endpoints to focus on potential vulnerabilities.
Key Features:
- High-Speed Crawling: Processes 33,000 URLs in just 30 seconds.
- Smart Filtering: Reduces noise by trimming non-essential endpoints.
- Recon Integration: Works seamlessly with reconnaissance pipelines.
You Should Know:
Installation & Setup
git clone https://github.com/xss0r/xss0r.git cd xss0r pip install -r requirements.txt
Basic Usage
python xss0r.py --crawler -i urls.txt -o filtered_urls.txt
Advanced Filtering
To exclude static files (e.g., `.js`, `.css`):
python xss0r.py --crawler -i urls.txt -o filtered.txt --exclude ".js|.css"
Parallel Processing
Speed up crawling using multiple threads:
python xss0r.py --crawler -i urls.txt -o output.txt --threads 10
Integrating with Other Tools
Pipe results into `httpx` for live host detection:
cat filtered_urls.txt | httpx -silent -status-code
Or use with `ffuf` for directory brute-forcing:
ffuf -w filtered_urls.txt:FUZZ -u FUZZ -mc 200
What Undercode Say:
xss0r –crawler is a game-changer for bug bounty hunters, reducing manual effort and improving efficiency. Combining it with tools like httpx, ffuf, and `nuclei` enhances recon workflows.
Additional Useful Commands:
- Extract Parameters from URLs:
cat urls.txt | grep -oP '(?<=\?).' | sort -u
- Check for Open Redirects:
gf redirect urls.txt
- Find XSS-Prone Endpoints:
grep -iE "search|query|redirect" urls.txt
Expected Output:
A refined list of high-potential URLs ready for vulnerability scanning.
Prediction:
As web applications grow, automated crawling and filtering tools like xss0r will become essential for efficient security assessments. Future updates may include AI-based URL classification for even smarter filtering.
Relevant URL: GitHub – xss0r
IT/Security Reporter URL:
Reported By: Ibrahim Husi%C4%87 – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
