we5ter/scanners-box

A powerful and open-source toolkit for hackers and security automation - 安全行业从业者自研开源扫描器合辑

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Summary Information

Updated 6 minutes ago
Added to GitGenius on September 7th, 2026
Created on December 24th, 2016
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 2,421
Total Stargazers: 9,038 (+0)
Total Subscribers: 409 (+0)

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Median issue/PR response: 2.7 days
Mean response time: 280.1 days
90th percentile: 970.7 days
Tracked items: 7

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Detailed Description

Scanners Box is a curated collection of open-source cybersecurity tools that aggregates scanners and utilities across multiple security domains.

The project addresses the fragmentation of security tooling by organizing thousands of open-source scanners into a single reference point. Rather than building new tools, it catalogs existing ones across ten or more categories including subdomain enumeration, mobile app analysis, smart contract scanning, binary analysis, IoT auditing, and cloud security. The collection emphasizes tools with available source code and includes a special focus on AI-driven automated security agents for both red team and blue team operations.

Developers should adopt this if they need a comprehensive directory of security scanners rather than a single integrated tool. It suits teams conducting security audits, penetration testing, or DevSecOps workflows who want to discover purpose-built scanners for specific attack surfaces. The project introduces an A³C badge certification for AI-powered autonomous security projects that are verified and actively maintained, helping users identify trusted AI-driven tools within the collection. This is a reference repository rather than a framework—users select individual tools from the organized categories based on their specific security needs.

The project maintains active curation of its scanner collection across multiple security categories. Documentation is available in multiple languages to serve a global audience. The repository includes dedicated sections for emerging security domains such as AI-powered autonomous agents, LLM-driven vulnerability scanning, and security auditing for AI applications, reflecting attention to contemporary threat landscapes.