Collected research
PANGOLIN: Fuzzing Multilingual IoT Firmware with LLM-Driven Code Analysis
PANGOLIN publicly available permanent version
Original December 2025 artifact for multilingual IoT firmware fuzzing. It combines handler and parameter recovery across languages, LLM-assisted constraint extraction, structured input generation and response feedback. The version-one README and implementation document manual handler selection and practical setup requirements.
Record
- Document
- PANGOLIN publicly available permanent version
- Researcher
- Zhipeng Jia, Xiaokang Yin, Shuitao Gan, Chao Zhang, Hangtian Liu, Jiangan Ji, Enzhou Song, Ruijie Cai, Jinglei Tan and Shengli Liu
- Published by
- Figshare
- Topic
- AI
In the archive
Related sources
- PANGOLIN: Fuzzing Multilingual IoT Firmware with LLM-Driven Code Analysis Whitepaper
- PANGOLIN implementation
Tags
This page is the archive's own catalogue record. The research is the work of Zhipeng Jia, Xiaokang Yin, Shuitao Gan, Chao Zhang, Hangtian Liu, Jiangan Ji, Enzhou Song, Ruijie Cai, Jinglei Tan and Shengli Liu, first published at the original source. Preserved copies are kept so the citation survives its host; this one was last captured on .