Scaling Up Malware Analysis with Gemini 1.5 Flash

Written by:
Bernardo Quintero, Founder of VirusTotal and Security Director, Google Cloud Security
Alex Berry, Security Manager of the Mandiant FLARE Team, Google Cloud Security
Ilfak Guilfanov, author of IDA Pro and CTO, Hex-Rays
Vijay Bolina, Chief Information Security Officer & Head of Cybersecurity Research, Google DeepMind

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In our previous post, we explored how Gemini 1.5 Pro could be used to automate the reverse engineering and code analysis of malware binaries. Now, we’re focusing on Gemini 1.5 Flash, Google’s new lightweight and cost-effective model, to transition that analysis from the lab to a production-ready system capable of large-scale malware dissection. With the ability to handle 1 million tokens, Gemini 1.5 Flash offers impressive speed and can manage large workloads. To support this, we’ve built an infrastructure on Google Compute Engine, incorporating a multi-stage workflow that includes scaled unpacking and decompilation stages. While promising, this is just the first step on a long journey to overcome accuracy challenges and unlock AI’s full potential in malware analysis.

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