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Anthropic-Cybersecurity-Skills/skills/detecting-sql-injection-via-waf-logs/SKILL.md
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---
name: detecting-sql-injection-via-waf-logs
description: >-
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.
domain: cybersecurity
subdomain: security-operations
tags: [detecting, sql, injection, via]
version: "1.0"
author: mahipal
license: 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
```bash
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
```