TransferFuzz-Pro: Large Language Model Driven Code Debugging Technology for Verifying Propagated Vulnerability

Code reuse in software development frequently facilitates the spread of vulnerabilities, leading to imprecise scopes of affected software in CVE reports. Traditional methods focus primarily on detecting reused vulnerability code in target software but lack the ability to confirm whether these vulnerabilities can be triggered in new software contexts. In previous work, we introduced the TransferFuzz framework to address this gap by using historical trace-based fuzzing. However, its effectiveness is constrained by the need for manual intervention and reliance on source code instrumentation. To overcome these limitations, we propose TransferFuzz-Pro, a novel framework that integrates Large Language Model (LLM)-driven code debugging technology. By leveraging LLM for automated, human-like debugging and Proof-of-Concept (PoC) generation, combined with binary-level instrumentation, TransferFuzz-Pro extends verification capabilities to a wider range of targets. Our evaluation shows that TransferFuzz-Pro is significantly faster and can automatically validate vulnerabilities that were previously unverifiable using conventional methods. Notably, it expands the number of affected software instances for 15 CVE-listed vulnerabilities from 15 to 53 and successfully generates PoCs for various Linux distributions. These results demonstrate that TransferFuzz-Pro effectively verifies vulnerabilities introduced by code reuse in target software and automatically generation PoCs.