horsicq/DIE-engine

DIE engine

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horsicq/DIE-engine has 3k+ stars and 400+ forks on GitHub, is written in C++, and was last pushed on Oct 17, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 1 hour ago
Added to GitGenius on September 21st, 2026
Created on October 13th, 2014
Open Issues & Pull Requests: 14 (+0)
GitHub issues: Enabled
Number of forks: 410
Total Stargazers: 3,322 (+0)
Total Subscribers: 87 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.0 hours
Mean response time: 16.4 hours
90th percentile: 21.0 hours
Tracked items: 58

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Issue Activity (beta)

Open issues: 12
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 862 days
Stale 30+ days: 11
Stale 90+ days: 9

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

DIE engine is a binary analysis tool that detects file types, packers, compilers, and other signatures in executable files through pattern matching and entropy analysis.

The tool addresses the problem of identifying what created a binary file and how it was packaged. It works by scanning executables against a database of signatures to recognize compilers, packers, crypters, and other file characteristics. The engine supports analysis of multiple executable formats including ELF and PE files, and can identify obfuscation through entropy calculation. It also integrates YARA rule support for flexible pattern detection.

The tool suits reverse engineers, malware analysts, and security researchers who need quick identification of binary properties without manual inspection. It provides both graphical and command-line interfaces, making it accessible for interactive analysis or integration into automated workflows. The project is the underlying engine for Detect It Easy, a standalone application for file analysis.

The project maintains active engagement with external contributors and acknowledges community participation. Development activity shows ongoing refinement of detection capabilities and support for additional file formats and analysis techniques.