Why LLMs Fail: A Failure Analysis and Partial Success Measurement for Automated Security Patch Generation

Large Language Models LLMs show promise for Automated Program Repair APR, yet their effectiveness on security vulnerabilities remains poorly characterized. This study analyzes 319 LLM-generated security patchesacross 64 Java vulnerabilities from the Vul4J benchmark. Using tri-axis evaluation...

Adversarial Bug Reports As a Security Risk in Language Model-Based Automated Program Repair

Large Language Model LLM - based Automated Program Repair APR systems are increasingly integrated into modern software development workflows, offering automated patches in response to natural language bug reports. However, this reliance on untrusted user input introduces a novel and underexplored...

Cybercrooks leveraging anti automation toolkit for phishing campaigns

Cybercrooks Leveraging Anti Automation Toolkit for Phishing Campaigns By Vihar Shah and Rohan Shah · December 18, 2023 Threat actors have a track record of abusing tools hosted on GitHub for malicious purposes. Last year we showed how attackers abused Python’s tarfile module. Trellix Advanced...

Automation Enables Innovation in the Cloud

As public cloud adoption continues to grow year after year, we see more and more enterprises realizing the strategic advantage the cloud can provide to help deliver new and innovative products quicker, roll out new features with ease, and reach new customers. But along with those advantages comes...

WordPress Krea3AllMedias SQL Injection

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