Logical vulnerabilities in software, arising from flaws in program logic, pose significant security risks due to the limitations of existing automated repair techniques. These techniques primarily focus on memory corruption vulnerabilities, struggling to address logical vulnerabilities due to their limited understanding of the vulnerable code's semantics and expected behavior. Researchers have introduced LogicEval, a systematic framework for evaluating automated repair techniques for logical vulnerabilities in real-world software. This framework aims to bridge the gap in addressing logical vulnerabilities by providing a comprehensive evaluation methodology. The development of LogicEval is crucial as it enables a more effective assessment of automated repair techniques, ultimately leading to improved software security1. This advancement matters to practitioners as it has significant implications for the development of more robust and secure software systems, directly impacting the security posture of organizations relying on such systems.