yogeshojha/rengine

reNgine is an automated reconnaissance framework for web applications with a focus on highly configurable streamlined recon process via Engines, recon data...

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Summary Information

Updated 2 hours ago
Added to GitGenius on September 7th, 2026
Created on May 3rd, 2020
Open Issues & Pull Requests: 180 (+0)
GitHub issues: Enabled
Number of forks: 1,344
Total Stargazers: 8,874 (+0)
Total Subscribers: 146 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 8.5 hours
Mean response time: 44.3 days
90th percentile: 108.3 days
Tracked items: 119

How this project is maintained

98% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "release/2.2.0" is answered fastest, typically in under an hour, while "bug" waits about 2 days. Three people close 68% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 95
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 612 days
Stale 30+ days: 88
Stale 90+ days: 83

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 2
Events in 7 days: 6

Top labels

  • bug (71)
  • feature_request (64)
  • release-ready (21)
  • release/2.2.0 (21)
  • top-priority (4)
  • good first issue (2)
  • needs more info (2)
  • question (2)

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Detailed Description

reNgine is an automated reconnaissance framework for web applications that streamlines information gathering through configurable scanning engines, data correlation, continuous monitoring, and a database-backed interface.

The tool addresses the challenge of conducting thorough reconnaissance efficiently by automating the discovery and enumeration of web application assets. It organizes reconnaissance data through correlation mechanisms that connect findings across multiple scans, reducing manual effort. The framework uses modular engines that can be configured to suit specific reconnaissance workflows, allowing penetration testers to customize their scanning approach without extensive setup.

Penetration testers and bug bounty hunters should consider this tool if they need a centralized platform for managing reconnaissance across multiple targets with minimal configuration overhead. It suits teams that want to move beyond running individual command-line tools and instead benefit from integrated data correlation and historical tracking. The tool includes features for continuous monitoring of targets, integration with external platforms like HackerOne for syncing bounty programs, support for custom scanning patterns through nuclei and gf pattern uploads, and multiple report generation templates. It distinguishes itself through its focus on data organization and correlation rather than simply aggregating scanner output.

The project maintains active continuous integration with automated code quality analysis and build verification. Development includes regular feature releases that add substantial capabilities such as bounty platform integration, in-application notifications, and expanded pattern support. The codebase shows ongoing refinement of core functionality alongside expansion into adjacent areas like external platform connectivity.