Summary:

Software vulnerabilities can be detected and addressed using advanced language models such as CodeBERT, GraphCodeBERT, and CodeT5. A tool called AIBugHunter in VSCode utilizes these models for software security. Cybersecurity researchers from Monash University explored the use of ChatGPT in software vulnerability prediction, classification, severity estimation, and automated repair tasks. ChatGPT performed poorly compared to code-oriented models in terms of accuracy and repair capabilities. The findings suggest that ChatGPT requires domain-specific fine-tuning for vulnerability tasks. Other developments of ChatGPT include malware analysis, intrusion detection, software security assistance, penetration testing, and vulnerability detection. Using Patch Manager Plus can help protect against vulnerabilities.

Hashtags:

#SoftwareVulnerabilities #AdvancedLanguageModels #CodeBERT #GraphCodeBERT #CodeT5 #AIBugHunter #ChatGPT #VulnerabilityPrediction #Classification #SeverityEstimation #AutomatedRepair #FineTuning #MalwareAnalysis #IntrusionDetection #PenetrationTesting #PatchManagerPlus

https://cybersecuritynews.com/chatgpt-for-vulnerability-detection/