⚠️ Disclaimer:
This repository contains a project description only.
The actual code is confidential and proprietary.
Contact for collaboration, demo access, or consulting engagements.
Smart Vulnerability Automation (SVA) is an AI-powered vulnerability scanning and exploitation framework, built for rapid and intelligent security assessments.
It integrates well-known tools like Nuclei, sqlmap, and FFUF, wrapped within a smart controller that optimizes scanning speed and reduces false positives.
This framework automates the entire process of:
- Asset discovery
- Vulnerability scanning
- Exploit validation
- Report generation
Designed for penetration testers and red teams conducting large-scale assessments.
- 🔎 Automated Asset Discovery: DNS, Subdomain, and Port Scanning.
- ⚡ Parallelized Vulnerability Scanning: Using Nuclei, FFUF, and custom-built AI modules.
- 🎯 Smart Exploitation Engine: Integrates sqlmap and custom fuzzers to exploit detected vulnerabilities.
- 📑 Auto Report Generation: HTML, CSV, and JSON reports with severity rankings.
- 🧠 AI Assistance: Prioritizes findings based on real-world exploitability patterns.
| Scenario | Description |
|---|---|
| Enterprise Penetration Testing | Automated vulnerability scans of corporate assets. |
| Bug Bounty Automation | Rapid asset scanning for bounty hunting. |
| Security Audits | Automated assessments during compliance checks. |
| Continuous Vulnerability Management | Integrate into CI/CD for ongoing security checks. |
- Python 3.x
- Nuclei (for HTTP vulnerabilities)
- sqlmap (for SQL injection testing)
- FFUF (for fuzzing)
- AI/ML libraries (custom vulnerability prioritization)
- Dockerized microservices
This project includes custom automation around security tools, AI prioritization logic, and exploitation workflows.
To avoid misuse, the code is available only for authorized security professionals during engagements.
Looking for automated vulnerability assessments?
→ Contact Muhammad Usama for professional services.