GhostTrace Uses Local Open-Weight AI to Hunt Breach Traces Without Cloud Exposure

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A developer built GhostTrace, a digital forensics tool for analyzing compromised-server logs, as an entry in a Hacktoberfest open-source AI challenge themed around ghosts. The tool runs open-weight models such as Llama 3.2 3B and Gemma 3 4B locally through Ollama, so sensitive internal logs never leave the machine. It ingests JSON and JSONL system logs, includes synthetic sample cases, and offers a raw-file preview for checking the required schema. To limit AI hallucination, its findings are generated by deterministic detection rules first, with AI output checked against citations, and the interface pairs this with a 3D visual scene and procedural audio.

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