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).
Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents arXiv:2605.30677v1 Announce Type: new Abstract: Agentic software reverse engineering systems are vulnerable to prompt injection attacks placed into the source code of executable binary files. This research demonstrates defensive tactics for detecting the presences of prompt injection strings in the decompiler output of adversarial example programs. Methods for o…
https://arxiv.org/abs/2605.30677
sha256:49b680bb4d835e2499b020aeec7ec6ad8e22516e41751c6b9218198251ea56a8
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Malware families
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Threat actors mentioned
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ATT&CK techniques
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