Modern web apps often suffer from security flaws that leave them open to attacks. Manual testing is time-consuming and error-prone. An automated vulnerability scanner can quickly identify flaws like injection attacks, broken authentication, and insecure headers — helping developers and security teams take fast action.
This scanner takes a target URL and analyzes the web application for common vulnerabilities. It simulates attacks like SQL injection and cross-site scripting, checks for outdated libraries, and inspects HTTP headers and cookies. The results are summarized in a detailed report for remediation.
Send payloads to detect potential input validation flaws in forms and URL parameters.
Check for missing or misconfigured headers like CSP, HSTS, X-Frame-Options.
Analyze cookies for secure, HttpOnly, and SameSite attributes.
Generate a downloadable report listing all vulnerabilities and recommended fixes.
Users input a web application's base URL. The tool crawls pages, identifies inputs and scripts, and runs simulated attack payloads against them. It then analyzes the server’s responses and behavior to detect vulnerabilities and summarizes them for reporting.
React.js or Next.js for the dashboard UI and scan submission form.
Python Flask or FastAPI to handle scanning logic and vulnerability analysis.
Use libraries like Requests, BeautifulSoup, or Selenium for crawling and payload injection.
ReportLab or WeasyPrint to generate professional PDF reports.
Build input form for URL and crawler to scan internal pages and forms.
Send attack payloads to test for injection, XSS, and header misconfigurations.
Parse server responses and categorize risks based on severity.
Display results in an admin panel and enable exporting reports.
Add support to scan authenticated sections using login credentials or session cookies.
Build a tool that empowers developers and security professionals to proactively find and fix vulnerabilities in web applications.
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