Lucene search
K

LLM-CSEC: Empirical Evaluation of Security in C/C++ Code Generated by Large Language Models

🗓️ 24 Nov 2025 00:00:00Reported by Muhammad Usman Shahid, Rajiv Ranjan, Chuadhry Mujeeb AhmedType 
packetstormnews
 packetstormnews
🔗 packetstorm.news👁 4 Views

This study assesses the security of C/C++ code from ten language models via common weaknesses enumeration and static analysis.

Data

Build on a solid foundation with Vulners data

We provide the essential building blocks for cybersecurity solutions with comprehensive, structured, and constantly updated vulnerability and exploits data

Api

Power your application with Vulners API

The Vulners REST API offers reliable, high-performance access to vulnerability intelligence, with 99.9% SLA uptime and CDN-backed data delivery for seamless global access

App

Assess and manage vulnerabilities with Vulners tools

Built on top of Vulners' database and SDK, end-user solutions give security professionals and developers lightweight and powerful tools for vulnerability remediation