Manual penetration testing is time-consuming and requires deep expertise. Automating the process helps security teams identify vulnerabilities faster and more efficiently. This project enhances your understanding of exploit vectors, risk analysis, and responsible vulnerability disclosure.
This tool scans targets for vulnerabilities including misconfigured servers, outdated libraries, weak authentication, and injection flaws. It simulates attacks like SQLi, XSS, CSRF, or brute-force login and provides detailed reports with severity ratings and fix recommendations.
Scan for open ports, services, and web technologies running on the system or website.
Simulate common attacks like SQL injection, XSS, CSRF, and file inclusion using predefined payloads.
Detect weak credentials, brute-force login pages, and check for insecure session tokens.
Generate detailed vulnerability reports in PDF or HTML with CVE IDs, severity scores, and mitigation steps.
The tool takes a target URL or IP address and runs reconnaissance to identify live services. It then launches a series of modules to test for common vulnerabilities. Based on the responses, it classifies risk levels and documents all findings in a structured report.
Python (with Nmap, Requests, BeautifulSoup, Paramiko) or Go for efficient scanning and scripting.
Flask or Streamlit for dashboard and input; ReportLab or WeasyPrint for PDF generation.
sqlmap, XSStrike, or custom payload generators for simulating vulnerabilities.
SQLite or MongoDB to store scan results, logs, and report history.
Use Nmap or Python sockets to scan ports and detect running services.
Add modules for SQLi, XSS, CSRF, and directory traversal testing.
Develop a form or CLI to input targets and show scan progress.
Summarize scan results, exploit outcomes, and suggested mitigations in a report.
Store scan data securely and allow users to download PDF or HTML reports.
Build a powerful automated penetration testing tool and streamline the process of vulnerability discovery and reporting.
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