ytisf/thezoo

A repository of LIVE malwares for your own joy and pleasure. theZoo is a project created to make the possibility of malware analysis open and available to...

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Summary Information

Updated 20 minutes ago
Added to GitGenius on September 4th, 2026
Created on January 9th, 2014
Open Issues & Pull Requests: 89 (+0)
GitHub issues: Enabled
Number of forks: 2,762
Total Stargazers: 13,364 (+0)
Total Subscribers: 834 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 30.8 days
Mean response time: 130.6 days
90th percentile: 427.5 days
Tracked items: 12

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Issue Activity (beta)

Open issues: 21
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 857 days
Stale 30+ days: 21
Stale 90+ days: 18

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

theZoo is a malware repository that provides access to live malware samples for educational analysis and research purposes.

The project addresses the scarcity of accessible malware samples by centralizing a collection of live malware in an organized, retrievable format. It operates as a database where samples are stored encrypted and locked to prevent accidental execution, allowing researchers and security professionals to study malware behavior, analyze attack vectors, and develop defensive measures within controlled environments. The tool provides both a command-line interface and argument-based modes for accessing and retrieving samples.

Adoption is appropriate for security researchers, malware analysts, and professionals who need hands-on access to real malware for educational purposes or job-related analysis. The project explicitly warns that samples are dangerous and should only be executed in isolated virtual machines without internet connectivity or guest additions, as some samples are worms capable of autonomous propagation. This tool suits those with sufficient security expertise to handle live threats safely and is not intended for general use. The README emphasizes that samples must be used exclusively for educational purposes and provides no comparisons to alternative malware repositories.

The project maintains active community engagement through documented code of conduct and contribution guidelines. Development activity shows ongoing maintenance with updates to the runtime architecture, including the introduction of dual CLI and argument-based execution modes. The tool is written in Python and requires dependency installation through standard package management.