Fast, thorough, XSS/SQLi spider. Give it a URL and it'll test every link it finds for cross-site scripting and some SQL injection vulnerabilities. See FAQ for more details about SQLi detection.
From within the main folder run:
./xsscrapy.py -u http://example.com
./xsscrapy.py -u http://example.com/login_page -l loginname
./xsscrapy.py -u http://example.com/login_page -l loginname --basic
./xsscrapy.py -u http://example.com/login_page --cookie "SessionID=abcdef1234567890"
./xsscrapy.py -u http://example.com -c 20
./xsscrapy.py -u http://example.com/ -r 60
Dependencies
wget -O https://bootstrap.pypa.io/get-pip.py
python get-pip.py
pip install -r requirements.txt
Tests
- Cookies
- User-Agent
- Referer
- URL variables
- End of URL
- URL path
- Forms both hidden and explicit
FAQ
- If it gives an error :
ImportError: cannot import name LinkExtractor
. This means that you don't have the latest version of scrapy. You can install it using:sudo pip install --upgrade scrapy
. - It's called XSScrapy, so why SQL injection detection too? There is overlap between dangerous XSS chars and dangerous SQL injection characters, namely single and double quotes. Detecting SQL injection errors in a response is also simple and nonCPU-intensive. So although 99% of this script is strongly geared toward high and accurate detection of XSS adding simple SQL injection detection through error message discovery is a simple and effective addition. This script will not test for blind sql injection. Error messages it looks for come straight from w3af's sqli audit plugin.
Tags
Audit
Connections
Cross-site Scripting
Detection
Discovery
Hidden
SQL
SQL Injection
SQL Injection detection
SQLi
vulnerabilities
XSS
XSScrapy