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[ARTICLE · art-37613] src=dev.to ↗ pub= topic=artificial-intelligence verified=true sentiment=↑ positive

Built an open-source AI malware analyzer for cybersecurity students

A student developer built an open-source AI malware analyzer for cybersecurity education. The tool runs suspicious binaries through static analysis tools like YARA and ClamAV, then uses local LLMs or OpenRouter to generate interactive attack chain graphs based on the Cyber Kill Chain. The project is available on GitHub and aims to help students visually understand malware behavior.

read1 min views1 publishedJun 24, 2026

Hi everyone! I'm a student and today I'm defending my graduation thesis. This project is a local educational platform that takes a suspicious binary file (exe, dll, elf), runs it through static analysis (YARA, ClamAV, radare2), and then uses AI (local LLMs or OpenRouter) to generate a comprehensive, easy-to-understand educational lesson.

The killer feature: The system doesn't just say "virus/not virus." It builds an interactive attack chain graph (Cyber Kill Chain). Students can visually analyze how the malware establishes persistence in the system, what files it creates, and where it tries to connect over the network.

The project is fully open-source. GitHub link: https://github.com/Dan-Sources/security-analyzer I would love to get some feedback from the community! I plan to keep developing the system and add dynamic analysis in the future.

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