AI API Scanner

Scan any OpenAI-compatible API endpoint for security misconfigurations. 12 checks, ~50 seconds.

pip install ai-api-scanner
ai-api-scanner https://your-api.com/v1 --key sk-your-key

What it checks

Grade system

Each scan gets a letter grade:

Install

git clone https://github.com/AAAjczz/ai-api-scanner.git
cd ai-api-scanner
pip install requests

Python 3.10+. Zero other dependencies.

Usage

# Basic scan (no key — auth + rate limit checks will skip)
python scan.py https://api.example.com/v1

# Full scan with API key
python scan.py https://api.example.com/v1 -k sk-your-key

# Run specific rules only
python scan.py https://api.example.com/v1 -r auth tls cors

# JSON output (for CI/CD) — includes grade
python scan.py https://api.example.com/v1 -k sk-key --json

# Markdown report
python scan.py https://api.example.com/v1 --md report.md

# SARIF output (GitHub Code Scanning)
python scan.py https://api.example.com/v1 --sarif

# Quiet mode (CI-friendly)
python scan.py https://api.example.com/v1 -q

# Use config file (auto-discovers .ai-scanner.json)
python scan.py

Configuration

Create .ai-scanner.json to customize thresholds and skip rules:

{
  "target": "https://api.example.com/v1",
  "key": "sk-your-key",
  "timeout": 15,
  "rules": {
    "skip": ["rate-limit", "model-enum"],
    "only": []
  },
  "thresholds": {
    "tls_cert_expiry_warn_days": 60,
    "rate_limit_parallel_count": 50
  }
}

CLI arguments always override config values.

Example output

   AI API Security Scanner
   scanning https://your-api.com/v1

  [1/12] 🔍 API key required...
  [1/12] ❌  API key required  (312ms)
          /models is accessible without an API key.
          → HTTP 200 on unauthenticated request
          💡 Require a valid Bearer token for all API endpoints.

  [2/12] 🔍 Default/placeholder key check...
  [2/12] ✅  Default/placeholder key check  (4251ms)
          All placeholder keys were properly rejected.

  ...

────────────────────────────────────────────────────────────────────────────────
  ▌ GRADE  C  (75/100)
  ▌ Needs work — at least one issue to fix
────────────────────────────────────────────────────────────────────────────────
  1 ❌  1 ⚠️  9 ✅  1 ⏭️
  ❌ 1 issue found. Fix before production.

CI/CD

GitHub Action (recommended)

# .github/workflows/api-scan.yml
- name: Scan API
  id: scanner
  uses: AAAjczz/ai-api-scanner@v0.5
  with:
    target: ${{ secrets.API_URL }}
    api_key: ${{ secrets.API_KEY }}

- name: Upload SARIF
  if: always()
  uses: github/codeql-action/upload-sarif@v3
  with:
    sarif_file: ${{ steps.scanner.outputs.sarif_file }}

See docs/ci-example.yml for a complete workflow.

CLI

pip install requests
python scan.py $API_URL -k $API_KEY --json > scan.json
python -c "import json; d=json.load(open('scan.json')); assert d['grade']['grade'] in ('A+','A','B')"

Fixing findings

Every rule has a corresponding fix in the Remediation Guide — specific nginx, LiteLLM, and FastAPI configuration examples for each finding.

What this is NOT

• Not a vulnerability scanner — it finds misconfigurations, not 0-days
• Not a pentesting tool — lightweight, safe, won't trigger WAFs
• Not a replacement for code review

What this IS

• A checklist your API should pass before production
• A CI step — fail the build on ❌
• A signal that your basic security posture is solid (when everything passes ✅)

FAQ

Works with non-OpenAI APIs? Targets OpenAI-compatible endpoints. Most AI API gateways (LiteLLM, OneAPI, FastAPI wrappers, Next.js routes) use this format.

Safe to run against production? Yes. Lightweight requests only (model list, single chat, malformed payloads). No fuzzing, no load testing.

Do I need to provide an API key? No — but without one, auth and rate limit checks will be skipped.

How do I add my own rules?

# my_rule.py
from rules.registry import register
from core.engine import Scanner
from core.result import RuleResult, Status

@register("my-rule", "My custom check")
def my_check(scanner: Scanner) -> RuleResult:
    ...

Then import it in rules/registry.py.

License

MIT