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59 lines
2.0 KiB
Markdown
59 lines
2.0 KiB
Markdown
---
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name: detecting-sql-injection-via-waf-logs
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description: >-
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Analyze WAF (ModSecurity/AWS WAF/Cloudflare) logs to detect SQL injection
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attack campaigns. Parses ModSecurity audit logs and JSON WAF event logs to
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identify SQLi patterns (UNION SELECT, OR 1=1, SLEEP(), BENCHMARK()), tracks
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attack sources, correlates multi-stage injection attempts, and generates
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incident reports with OWASP classification.
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domain: cybersecurity
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subdomain: security-operations
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tags: [detecting, sql, injection, via]
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version: "1.0"
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author: mahipal
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license: Apache-2.0
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---
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# Detecting SQL Injection via WAF Logs
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## When to Use
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- When investigating security incidents that require detecting sql injection via waf logs
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- When building detection rules or threat hunting queries for this domain
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- When SOC analysts need structured procedures for this analysis type
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- When validating security monitoring coverage for related attack techniques
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## Prerequisites
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- Familiarity with security operations concepts and tools
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- Access to a test or lab environment for safe execution
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- Python 3.8+ with required dependencies installed
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- Appropriate authorization for any testing activities
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## Instructions
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1. Install dependencies: `pip install requests`
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2. Collect WAF logs (ModSecurity audit log, AWS WAF JSON logs, or Cloudflare firewall events).
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3. Run the agent to parse and analyze:
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- Detect SQLi payloads via 15+ regex patterns
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- Classify attacks by OWASP injection type (classic, blind, time-based, UNION-based)
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- Identify persistent attackers by IP clustering
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- Correlate multi-request injection campaigns
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- Calculate attack success probability based on response codes
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```bash
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python scripts/agent.py --log-file /var/log/modsec_audit.log --format modsecurity --output sqli_report.json
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```
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## Examples
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### ModSecurity SQLi Detection
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```
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Rule 942100 triggered: SQL Injection Attack Detected via libinjection
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URI: /api/users?id=1' UNION SELECT username,password FROM users--
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Source IP: 203.0.113.42 (47 requests in 5 minutes)
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Classification: UNION-based SQLi campaign
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```
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