"Digital Camouflage": the LLVM Challenge in LLM-Based Malware Detection

Large Language Models LLMs have emerged as promising tools for malware detection by analyzing code semantics, identifying vulnerabilities, and adapting to evolving threats. However, their reliability under adversarial compiler-level obfuscation is yet to be discovered. In this study, we empirical...

Obfuscation_Detection - Collection Of Scripts To Pinpoint Obfuscated Code

Automatically detect control-flow flattening and other state machines Author: Tim Blazytko Description: Scripts and binaries to automatically detect control-flow flattening and other state machines in binaries. Implementation is based on Binary Ninja. Check out the following blog post for more...

Defeating Compiler-Level Obfuscations Used in APT10 Malware

Summary The Carbon Black Threat Analysis Unit TAU recently analyzed a series of malware samples that utilized compiler-level obfuscations. For example, opaque predicates were applied to Turla mosquito and APT10 ANEL. Another obfuscation, control flow flattening, was applied to APT10 ANEL and Dhar...