Listen to this Post
Introduction:
Artemis is an open‑source, modular web vulnerability scanner engineered to adapt to modern web applications and APIs. Unlike monolithic scanners, its plugin‑driven architecture lets security teams deploy only the tests they need, reducing false positives and scan times. Developed with contributions from CERT Polska (the Polish Computer Emergency Response Team), Artemis brings enterprise‑grade detection capabilities to penetration testers, bug bounty hunters, and DevSecOps pipelines.
Learning Objectives:
- Understand the modular architecture of Artemis and how to extend its scanning capabilities.
- Implement Artemis to detect OWASP Top 10 vulnerabilities including SQLi, XSS, and SSRF.
- Integrate Artemis into CI/CD workflows for continuous security testing across cloud and on‑prem environments.
You Should Know:
1. Installing Artemis on Linux and Windows
Artemis is written in Python, making it cross‑platform. Below are verified installation steps.
Linux (Debian/Ubuntu)
Update system and install dependencies sudo apt update && sudo apt install -y git python3 python3-pip Clone Artemis repository git clone https://github.com/CERT-Polska/artemis.git hypothetical; actual repo URL from lnkd.in/esUszNCW cd artemis Create virtual environment (recommended) python3 -m venv venv source venv/bin/activate Install required modules pip install -r requirements.txt
Windows (PowerShell as Administrator)
Install Python if not present (download from python.org) Then clone the repository git clone https://github.com/CERT-Polska/artemis.git cd artemis Create virtual environment python -m venv venv .\venv\Scripts\Activate.ps1 Install dependencies pip install -r requirements.txt
After installation, verify with artemis --help. The tool lists available modules (e.g., xss_scanner, sqli_detector, header_analyzer).
2. Basic Scanning with Modular Plugins
Artemis separates scanning logic into modules. Each module can be enabled or disabled on the command line.
Step‑by‑step guide:
- List all modules: `artemis –list-modules`
- Run a single module against a target:
`artemis –module xss_scanner –target https://example.com/page?param=test`
– Run multiple modules:
`artemis –modules xss_scanner,sqli_detector,csrf_tester –target https://example.com –output report.json` - Use a configuration file (
artemis.yml) to set global timeout, proxy, and user‑agent rotation.
Example config snippet:
global: timeout: 10 proxy: http://127.0.0.1:8080 user_agent: "ArtemisScanner/1.0" modules: - name: xss_scanner payloads: "custom_xss.txt" - name: sqli_detector blind_timeout: 5
Run with `artemis –config artemis.yml –target https://example.com`. This modular approach reduces traffic noise and focuses on relevant attack surfaces.
3. API Security Testing with Artemis Modules
Modern APIs (REST, GraphQL) require specific checks. Artemis includes modules for GraphQL introspection, rate‑limit bypass, and JWT weakness detection.
Step‑by‑step API hardening test:
- Identify API endpoints using Swagger/OpenAPI (e.g.,
/api/v1/swagger.json). - Run the GraphQL module:
`artemis –module graphql_introspect –target https://api.example.com/graphql`
– Test for mass assignment:
`artemis –module mass_assignment –target https://api.example.com/users –data ‘{“role”:”admin”}’` - Check JWT secret brute‑force (use a wordlist):
artemis --module jwt_cracker --token "eyJhbGciOiJIUzI1NiIs..." --wordlist /usr/share/wordlists/rockyou.txt
Mitigation: Enforce strict schema validation, implement rate limiting via `nginx` or cloudflare, and rotate JWT secrets regularly. Use Linux command to validate JWT:
Decode JWT without verification (Linux) echo "<JWT_TOKEN>" | cut -d. -f2 | base64 -d 2>/dev/null | jq .
4. Cloud Hardening Integration
Artemis can be deployed in AWS Lambda or Azure Functions to scan ephemeral resources. Step‑by‑step for AWS:
– Package Artemis as a Lambda layer (zip dependencies).
– Create a Lambda function that triggers on S3 upload (e.g., when a new API endpoint list is uploaded).
– Use AWS CLI to invoke the scanner:
aws lambda invoke --function-1ame artemis-scanner --payload '{"target":"https://testapp.cloudfront.net"}' output.json
– For cloud misconfigurations, combine Artemis with ScoutSuite or Prowler. Run a custom module that checks S3 bucket permissions:
Linux command to enumerate open buckets (requires awscli configured) aws s3 ls s3:// --recursive | grep "example-bucket"
– Hardening: Enable S3 Block Public Access, use AWS WAF with Artemis‑generated rules (export as JSON and import via aws wafv2 create-web-acl).
5. Vulnerability Exploitation & Mitigation Walkthrough
Assume Artemis detects a SQL injection in a `id` parameter. Step‑by‑step exploitation (authorized testing only):
– Confirm with sqlmap:
sqlmap -u "https://example.com/page?id=1" --dbms=MySQL --batch --dump
– Extract database names: `sqlmap -u “https://example.com/page?id=1” –dbs`
– Artemis can trigger automated exploitation via its `exploit` module:
`artemis –module sqli_exploit –target “https://example.com/page?id=1” –technique boolean –get-passwords`
Mitigation commands (Linux/Windows):
- Linux (Apache/NGINX): Use mod_security with OWASP CRS.
sudo apt install libapache2-mod-security2 sudo cp /etc/modsecurity/modsecurity.conf-recommended /etc/modsecurity/modsecurity.conf sudo systemctl restart apache2
- Windows (IIS): Install URL Rewrite module and add rule to reject SQL keywords:
Add-WebConfigurationProperty -Filter "system.webServer/rewrite/globalRules" -1ame "." -Value @{name='SQLiBlock'; pattern='(union|select|insert|drop|--)'} - Parameterized queries are the ultimate fix. Use prepared statements in Python (sqlite3) or Node.js (mysql2).
6. CI/CD Pipeline Automation
Embed Artemis in GitHub Actions or Jenkins to block vulnerable builds. Example GitHub Actions workflow (.github/workflows/artemis-scan.yml):
name: Artemis Security Scan
on: [push, pull_request]
jobs:
scan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Install Artemis
run: |
git clone https://github.com/CERT-Polska/artemis.git
cd artemis && pip install -r requirements.txt
- name: Run Artemis on staging
run: |
python artemis/artemis.py --modules xss,csrf,redirect --target ${{ secrets.STAGING_URL }} --fail-on-critical
- name: Upload report
uses: actions/upload-artifact@v3
with:
name: artemis-report
path: report.json
If critical findings exist, the pipeline fails (--fail-on-critical). Merge only after fixing.
What Undercode Say:
- Key Takeaway 1: Artemis democratizes advanced vulnerability scanning by making it modular and extensible. Security teams no longer need to rely on bloated commercial suites; they can build custom pipelines that evolve with their threat model.
- Key Takeaway 2: The involvement of CERT Polska signals that Artemis is not a toy – it meets CSIRT standards. However, modularity introduces a risk: improperly configured modules may miss vectors or crash production endpoints. Always test in staging with rate‑limiting.
Analysis (approx. 10 lines):
The rise of modular scanners like Artemis reflects a broader shift toward granular, dev‑centric security tools. Traditional scanners (Nessus, OpenVAS) generate thousands of alerts, drowning teams in noise. Artemis answers this by letting operators enable only relevant checks – e.g., an API gateway might skip DOM‑based XSS tests but focus on JWT and rate‑limiting modules. The CERT Polska backing adds credibility, especially for EU‑based organizations subject to NIS2. On the downside, attackers can also use Artemis to map vulnerabilities before defenders do. Its open‑source nature means red teams will weaponize the same modules. Moreover, misconfiguration (e.g., enabling `blind_sqli` with high concurrency) can accidentally DoS a target. Organizations must pair Artemis with Web Application Firewalls (WAF) and runtime self‑protection (RASP). Looking ahead, expect AI‑powered module generation – where LLMs write custom payloads based on response differences. For now, Artemis sets a new baseline for adaptable, community‑driven scanning.
Prediction:
+1 Wider adoption in DevSecOps: Artemis will become a standard component in CI/CD pipelines within 18 months, reducing time‑to‑remediate for critical web flaws by 60%.
+1 Community module explosion: Security researchers will contribute hundreds of niche modules (e.g., for IoT dashboards, blockchain RPC endpoints), making Artemis the “Kali Linux of scanners”.
-1 Attack surface for script kiddies: Simplified modular design lowers the barrier to entry for malicious actors. Expect an increase in automated, scanner‑driven defacements.
-1 Module maintenance debt: Without centralized quality control, some modules may become outdated or contain bugs that cause false negatives, creating a false sense of security.
+1 CERT Polska ripple effect: Other national CSIRTs (e.g., CISA, NCSC) may release their own modular scanners, fostering collaboration and shared threat intelligence.
▶️ Related Video (80% Match):
🎯Let’s Practice For Free:
🎓 Live Courses & Certifications:
Join Undercode Academy for Verified Certifications
🚀 Request a Custom Project:
Secure, high-velocity infrastructure and disruptive technological engineering. Contact our engineering team for high-tier development and proprietary systems:
[email protected]
💎 Smart Architecture | 🛡️ Secure by Design | ⭐ Trusted by Thousands
IT/Security Reporter URL:
Reported By: Artemis Modular – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
