INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/1/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Automatically Attacking Software Reverse Engineering AI Agents arXiv:2605.30667v1 Announce Type: new Abstract: Software tools for reverse engineering executable binary files, such as Ghidra, enable malware analysts to safely conduct robust static analysis without having access to original source code. Coupled with the analytic power of large language models (LLM), agentic systems enabled with tools, such as GhidraMCP, can allow analysts to automate a previously human driven …
https://arxiv.org/abs/2605.30667
sha256:15a37d5d78bb00bb7c358ac752ffac64e99c95c69bfd016e7e884cc609a1e5cf
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Indicators
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Malware families
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Threat actors mentioned
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ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
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