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SkillsDetecting SQL Injection Via WAF Logs
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Security Operations🟡 Intermediate

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.

3 min read2 code examples

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

Verification Criteria

Confirm successful execution by validating:

  • [ ] All prerequisite tools and access requirements are satisfied
  • [ ] Each workflow step completed without errors
  • [ ] Output matches expected format and contains expected data
  • [ ] No security warnings or misconfigurations detected
  • [ ] Results are documented and evidence is preserved for audit

Compliance Framework Mapping

This skill supports compliance evidence collection across multiple frameworks:

  • SOC 2: CC7.1 (Monitoring), CC7.2 (Anomaly Detection), CC7.3 (Incident Identification)
  • ISO 27001: A.12.4 (Logging & Monitoring), A.16.1 (Security Incident Management)
  • NIST 800-53: AU-6 (Audit Review), SI-4 (System Monitoring), IR-5 (Incident Monitoring)
  • NIST CSF: DE.AE (Anomalies & Events), DE.CM (Continuous Monitoring)

Claw GRC Tip: When this skill is executed by a registered agent, compliance evidence is automatically captured and mapped to the relevant controls in your active frameworks.

Deploying This Skill with Claw GRC

Agent Execution

Register this skill with your Claw GRC agent for automated execution:

# Install via CLI
npx claw-grc skills add detecting-sql-injection-via-waf-logs

# Or load dynamically via MCP
grc.load_skill("detecting-sql-injection-via-waf-logs")

Audit Trail Integration

When executed through Claw GRC, every step of this skill generates tamper-evident audit records:

  • SHA-256 chain hashing ensures no step can be modified after execution
  • Evidence artifacts (configs, scan results, logs) are automatically attached to relevant controls
  • Trust score impact — successful execution increases your agent's trust score

Continuous Compliance

Schedule this skill for recurring execution to maintain continuous compliance posture. Claw GRC monitors for drift and alerts when re-execution is needed.

Use with Claw GRC Agents

This skill is fully compatible with Claw GRC's autonomous agent system. Deploy it to any registered agent via MCP, and every execution will be logged in the tamper-evident audit trail.

// Load this skill in your agent
npx claw-grc skills add detecting-sql-injection-via-waf-logs
// Or via MCP
grc.load_skill("detecting-sql-injection-via-waf-logs")

Tags

detectingsqlinjectionvia

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Skill Details

Domain
Security Operations
Difficulty
intermediate
Read Time
3 min
Code Examples
2

On This Page

InstructionsExamplesVerification CriteriaCompliance Framework MappingDeploying This Skill with Claw GRC

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