This security assessment utilized AI-driven vulnerability detection and automated exploit execution with a focus on identifying Remote Code Execution (RCE) vulnerabilities.
The testing methodology involved AI-based vulnerability detection using a custom AI model and automated exploit generation for high-probability vulnerabilities.
To validate the findings, post-exploitation scripts were used to analyze system configurations and assess the depth of compromise for RCE vulnerabilities.
The notebook utilizes AI models like CodeBERT and BART to analyze source code and identify potential security vulnerabilities.