threat-intel
Using Gemma4 with Ollama - Testing File Hash Analysis and Recommendations with AI, (Wed, Aug 12th)
High
Summary
This report details an experiment using a Large Language Model (Gemma4) to analyze malware hashes uploaded to the DShield sensor. The LLM was used to identify potential threats and recommend actions, focusing on a pattern of high-volume file downloads indicative of established compromise and data exfiltration. The analysis highlights the importance of continuous data capture from threat intelligence sources and emphasizes the need to treat downloaded files as potentially malicious, even if their hashes aren't immediately identified.
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