Khelendrameena/jev_based_BUG_SCANER
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- Last pushed
- Updated Oct 2026
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Jev directory
CommunityJev Tools & CLIs
JEV Website Source Analyzer
A Python tool that crawls the publicly served source of a website and uses JEV to flag genuine bugs and security issues, reporting bug probability and confidence scores and listing the most suspicious resources.
- Stars
- 0
- Language
- Python
- Reading time
- 2 min
- Published by
- Community
- Author
- Khelendrameena
- Last verified
- Oct 2026
- Languages
- Python
- Capabilities
- Open source
Highlights
- Crawls same-origin pages and collects HTML, external and inline JavaScript, CSS, links, endpoints, forms, images and config-like resources.
- JEV analyses the extracted content for genuine bugs and vulnerabilities, with evidence-based findings and bug probability and confidence scores.
- Attempts to avoid false positives from style issues, metadata and generated code, and highlights the most suspicious resources.
- The README warns it analyses only content publicly returned by the web server and does not retrieve private backend source code.
- Python repository created and pushed 2026-10-03; no license is listed and it had zero stars at sweep time.
Watch out
README reviewed 2026-10-17; the digest excerpt cuts off inside the how-it-works diagram, so setup, requirements and output details are not captured, and the repository lists no license. The tool's own README limits it to publicly served content.
Questions about this entry
Short answers drawn from the linked project or page.
An AI-powered Python tool for analysing the publicly accessible source of a website and identifying genuine software bugs and security vulnerabilities, using JEV to analyse the content it collects while crawling.
It crawls a website, collects client-side resources, and uses JEV to analyse the extracted content; findings carry bug probability and confidence scores, and the top suspicious resources are surfaced.
No. The README states it analyses content publicly returned by the web server and explicitly does not retrieve private backend source code, so treat it as an external black-box analysis of what the site serves.
Same-origin pages plus HTML, external and inline JavaScript, external and inline CSS, links and endpoints, forms, images, iframes, and JSON or config-like resources, per the feature list.
The feature list says it focuses on evidence-based findings, reports bug probability and confidence scores, and attempts to avoid false positives from style issues, metadata and generated code.
Not documented in the digest: the excerpt stops inside the how-it-works diagram, so there are no captured install commands, requirements file or usage examples for the tool.
It is published by GitHub user Khelendrameena as a Python repository created and pushed on 2026-10-03, with zero stars at sweep time and no license listed in the metadata.
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