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Skillv1.0.0

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

by mukul975(0) 0 installs
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Imported from mukul975/anthropic-cybersecurity-skills (skills/detecting-sql-injection-via-waf-logs/SKILL.md). Install upstream with npx skills add mukul975/anthropic-cybersecurity-skills --skill detecting-sql-injection-via-waf-logs. Copyright stays with the author (Apache-2.0).

Detecting SQL Injection via WAF Logs

When to Use

  • When investigating security incidents that require detecting sql injection via waf logs
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Familiarity with security operations concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

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

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/mukul975-anthropic-cybersecurity-skills-detecting-sql-in-04d8d1/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

mukul975-anthropic-cybersecurity-skills-detecting-sql-in-04d8d1.ocm.jsonjson
{
  "ocm": "1",
  "id": "mukul975-anthropic-cybersecurity-skills-detecting-sql-in-04d8d1",
  "kind": "skill",
  "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.",
  "publisher": "mukul975",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding",
      "data_analysis"
    ],
    "tags": [
      "skill-md",
      "waf-log-analysis",
      "sql-injection-detection",
      "modsecurity",
      "aws-waf",
      "cloudflare-waf",
      "web-application-security",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "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."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/mukul975/anthropic-cybersecurity-skills",
      "path": "skills/detecting-sql-injection-via-waf-logs/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/mukul975/anthropic-cybersecurity-skills/blob/HEAD/skills/detecting-sql-injection-via-waf-logs/SKILL.md",
      "key": "mukul975/anthropic-cybersecurity-skills/skills/detecting-sql-injection-via-waf-logs/SKILL.md"
    },
    "license": "Apache-2.0"
  },
  "instructions": "# Detecting SQL Injection via WAF Logs\n\n\n## When to Use\n\n- When investigating security incidents that require detecting sql injection via waf logs\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Familiarity with security operations concepts and tools\n- Access to a test or lab environment for safe execution\n- Python 3.8+ with required dependencies installed\n- Appropriate authorization for any testing act",
  "cost": {
    "context_tokens": 378
  }
}

Fetch it by URL: GET /api/v1/registry/mukul975-anthropic-cybersecurity-skills-detecting-sql-in-04d8d1/manifest?version=1.0.0

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