Free Security Audit API: Scan Your Code in 30 Seconds

Published: (May 28, 2026 at 11:17 AM EDT)
3 min read
Source: Dev.to

Source: Dev.to

The Problem With Security Scanning Today

Static analysis tools are powerful but heavyweight. Setting up Semgrep, CodeQL, or Snyk in a CI pipeline can take hours. For a quick check on a code snippet, you need something lighter—an API that accepts code and returns findings without any CLI installation or large Docker images.

SecureScope: Security Audit as an API

SecureScope is a REST API that scans source code for security vulnerabilities. Send code in, get findings out. Each finding includes severity, description, affected line, and remediation steps.

Getting Your API Key

Free tier gives you 10 scans per month. No credit card required.

curl -X POST https://api.aaido.dev/signup \
  -H "Content-Type: application/json" \
  -d '{"email": "you@example.com"}'

Response

{
  "api_key": "ak_abc123...",
  "tier": "free",
  "monthly_limit": 100
}

Save that key; it will not be shown again.

Your First Scan

Here is a Python snippet with an obvious vulnerability:

import pickle
data = pickle.loads(user_input)

Scan it

curl -X POST https://api.aaido.dev/v1/products/securescope/scan \
  -H "X-API-Key: ak_your_key" \
  -H "Content-Type: application/json" \
  -d '{
    "code": "import pickle\ndata = pickle.loads(user_input)",
    "language": "python"
  }'

Response

{
  "findings": [
    {
      "severity": "HIGH",
      "rule": "unsafe-deserialization",
      "line": 2,
      "message": "pickle.loads with untrusted input enables arbitrary code execution",
      "remediation": "Use json.loads() or validate input before deserialization"
    }
  ],
  "scan_id": "sc_a1b2c3",
  "risk_score": 8.5
}

Each finding tells you exactly what is wrong, where, and how to fix it.

A More Realistic Example

Scanning a Flask route that has multiple issues:

from flask import Flask, request
import subprocess
import sqlite3

app = Flask(__name__)

@app.route('/search')
def search():
    query = request.args.get('q')
    conn = sqlite3.connect('app.db')
    results = conn.execute(f"SELECT * FROM items WHERE name LIKE '%{query}%'")
    return str(results.fetchall())

@app.route('/run')
def run_cmd():
    cmd = request.args.get('cmd')
    output = subprocess.check_output(cmd, shell=True)
    return output

The scan picks up:

  • SQL Injection (HIGH) on line 11 – f‑string in SQL query
  • Command Injection (CRITICAL) on line 16 – unsanitized user input in shell command
  • No CSRF Protection (MEDIUM) – Flask app without CSRF tokens

Remediation suggestions: use parameterized queries, replace subprocess.check_output with subprocess.run and a whitelist, add flask-wtf for CSRF protection.

Integrating Into CI/CD

A simple GitHub Actions step:

- name: Security scan
  run: |
    RESULT=$(curl -s -X POST https://api.aaido.dev/v1/products/securescope/scan \
      -H "X-API-Key: ${{ secrets.SECURESCOPE_KEY }}" \
      -H "Content-Type: application/json" \
      -d "{\"code\": \"$(cat src/main.py | jq -Rs .)\", \"language\": \"python\"}")

    HIGH_COUNT=$(echo $RESULT | jq '[.findings[] | select(.severity == "HIGH" or .severity == "CRITICAL")] | length')

    if [ "$HIGH_COUNT" -gt "0" ]; then
      echo "Found $HIGH_COUNT high/critical vulnerabilities"
      echo $RESULT | jq '.findings[] | select(.severity == "HIGH" or .severity == "CRITICAL")'
      exit 1
    fi

This blocks PRs with high‑severity findings. The free tier covers most small teams with 10 scans per month.

Supported Languages

Python, JavaScript, TypeScript, Go, Rust, Java, Solidity, Ruby, PHP. The scanner combines pattern matching with AI analysis, catching both known vulnerability patterns and context‑specific issues.

Why an API Instead of a CLI Tool?

  • Zero installation – works from any environment with curl
  • Always updated – new rules deploy server‑side without client updates
  • Composable – pipe output to Slack, Jira, or your own dashboard

The API returns structured JSON, not messy terminal output. Parse it, filter it, and route it wherever you need.

Pricing

  • Free tier: 10 scans/month (covers casual use)
  • Pro: $49/month for 50 scans with deeper analysis
  • Enterprise: $199/month adds multi‑model consensus scanning

Product page:

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