Anthropic-Cybersecurity-Skills/skills/detecting-sql-injection-via-waf-logs/SKILL.md

name, description, domain, subdomain, tags, version, author, license

name	description	domain	subdomain	tags	version	author	license
detecting-sql-injection-via-waf-logs	Analyze WAF (ModSecurity/AWS WAF/Cloudflare) logs to detect SQL injection attack campaigns. Parses ModSecurity audit logs and JSON WAF event logs to identify SQLi patterns (UNION SELECT, OR 1=1, SLEEP(), BENCHMARK()), tracks attack sources, correlates multi-stage injection attempts, and generates incident reports with OWASP classification.	cybersecurity	security-operations	detecting sql injection via	1.0	mahipal	MIT

Instructions

1. Install dependencies: pip install requests
2. Collect WAF logs (ModSecurity audit log, AWS WAF JSON logs, or Cloudflare firewall events).
3. Run the agent to parse and analyze:
   • Detect SQLi payloads via 15+ regex patterns
   • Classify attacks by OWASP injection type (classic, blind, time-based, UNION-based)
   • Identify persistent attackers by IP clustering
   • Correlate multi-request injection campaigns
   • Calculate attack success probability based on response codes

python scripts/agent.py --log-file /var/log/modsec_audit.log --format modsecurity --output sqli_report.json

Examples

ModSecurity SQLi Detection

Rule 942100 triggered: SQL Injection Attack Detected via libinjection
URI: /api/users?id=1' UNION SELECT username,password FROM users--
Source IP: 203.0.113.42 (47 requests in 5 minutes)
Classification: UNION-based SQLi campaign