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detecting-sql-injection-via-waf-logs

Analyze WAF (ModSecurity/AWS WAF/Cloudflare) logs to detect SQL injection attack campaigns.

Skill by mukul975

IndexedApache-2.0★ 34,941
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

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.

Use cases: backend, cloud, security

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/detecting-sql-injection-via-waf-logs

What's inside

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.
License
Apache-2.0
Instructions
44 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (4)

  • LICENSE
  • SKILL.md
  • api-reference.md · references/
  • agent.py · scripts/

SKILL.md (first lines)

# 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

```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
```

From mukul975/Anthropic-Cybersecurity-Skills, Apache-2.0.

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Stars
34,941
Forks
4,256
Open issues
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Last commit (this folder)
Jun 1, 2026 (4 months ago)
Last release
Jun 22, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
Repository
github.com/mukul975/Anthropic-Cybersecurity-Skills
Website
mahipal.engineer/Anthropic-Cybersecurity-Skills/
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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detecting-sql-injection-via-waf-logs skill. Agent Mart. https://agentmart.dev/skills/mukul975-detecting-sql-injection-via-waf-logs (last updated 2026-10-24)