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Using Gemma4 with Ollama - Testing File Hash Analysis and Recommendations with AI, (Wed, Aug 12th)

ID: 017c4c75-07c4-5d31-b9f2-15607c2804fe

STIX ID: report--017c4c75-07c4-5d31-b9f2-15607c2804fe

Feed Name: SANS ISC Diary

Threat Score
65/100

Date Published: 2026-08-13

Date Updated: 2026-08-13

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The author used the Gemma4 LLM to analyze high-volume hashes observed by a Cowrie sensor and compared results against VirusTotal and CyberGordon; the LLM concluded repeated downloads indicate likely compromise with payloads consistent with botnet/loaders, backdoors/keyloggers, and credential-stealers. The report recommends immediate containment of affected hosts, improved sensor logging and egress filtering, enterprise-wide threat hunting for the top hashes, and re-querying threat intelligence sources for better IoC validation.

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