cugu/awesome-forensics

⭐️ A curated list of awesome forensic analysis tools and resources

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Summary Information

Updated 50 minutes ago
Type:Curated List / Learning ResourceCategory(s):Reverse Engineering & Malware AnalysisSecurity & Privacy
Added to GitGenius on September 13th, 2026
Created on March 29th, 2016
Open Issues & Pull Requests: 11 (+0)
GitHub issues: Disabled - open counts may still include pull requests.
Number of forks: 772
Total Stargazers: 5,182 (+1)
Total Subscribers: 165 (+0)

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Detailed Description

Awesome Forensics is a curated list of free and open-source digital forensics tools and resources organized by category and use case.

The project addresses the challenge of discovering and evaluating forensic analysis tools by maintaining a comprehensive, categorized index spanning the full spectrum of digital forensics work. It organizes tools and resources across specialized domains including memory forensics, network forensics, mobile forensics, disk imaging, carving, timeline analysis, and artifact processing. The list includes links to established forensic tool collections, distributions purpose-built for forensics work, and learning resources. Each entry is tagged to indicate whether it is recommended, archived, or unmaintained, helping users quickly assess the current state of listed tools.

The list suits anyone building a forensics toolkit or learning the field, from incident responders selecting tools for specific tasks to researchers exploring available options. It works best as a reference during tool evaluation rather than as a substitute for hands-on testing, since it provides discovery and categorization but not detailed feature comparisons. The breadth of categories—from Windows artifact analysis to Docker forensics to steganography—means most practitioners will find relevant entries, though users should verify maintenance status and suitability for their specific forensic domain before adoption.

The project maintains an automated link validation workflow to catch broken references. Contributions are accepted through the standard pull request process, allowing the community to propose additions and updates to the curated list.