Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents 事件

Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents arXiv:2605.30677v1 Announce Type: cross 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 obfuscating these a