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mukul975
cb8d79e068
- Add validated mitre_attack frontmatter to all 754 skills (286 distinct techniques), verified against MITRE ATT&CK v19.1 via the official mitreattack-python library: 0 revoked, deprecated, or invalid IDs - Curate precise per-skill technique IDs for forensics, malware-analysis, threat-intel, and red-team skills (e.g. DCSync -> T1003.006, Kerberoasting -> T1558.003, Pass-the-Ticket -> T1550.003) - Reconcile v19.1 tactic restructuring: Defense Evasion split into Stealth (TA0005) and Defense Impairment (TA0112); revoked T1562.* family and T1070.001/.002 remapped to active equivalents (T1685.*) - Normalize word-split tags across 35 skills (remove filename-derived stopword tags, add semantic cybersecurity tags) - Add api-reference.md for 3 skills that were missing it - Update README ATT&CK section with accurate v19.1 tactic distribution
73 lines
2.2 KiB
Markdown
73 lines
2.2 KiB
Markdown
---
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name: detecting-sql-injection-via-waf-logs
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description: 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 identify
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SQLi patterns (UNION SELECT, OR 1=1, SLEEP(), BENCHMARK()), tracks attack sources,
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correlates multi-stage injection attempts, and generates incident reports with OWASP
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classification.
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domain: cybersecurity
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subdomain: security-operations
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tags:
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- waf-log-analysis
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- sql-injection-detection
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- modsecurity
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- aws-waf
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- cloudflare-waf
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- web-application-security
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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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nist_csf:
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- DE.CM-01
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- RS.MA-01
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- GV.OV-01
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- DE.AE-02
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mitre_attack:
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- T1190
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- T1505.003
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- T1059.007
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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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