# Empirical Study of Large Language Models in Vulnerability Analysis of Automotive Binary Programs

> This article explores how large language models can be applied in the field of automotive software security, analyzing their capabilities, limitations, and practical application prospects in binary vulnerability detection.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-22T01:00:28.000Z
- 最近活动: 2026-04-22T01:19:39.805Z
- 热度: 0.0
- 关键词: 大语言模型, 汽车软件安全, 二进制漏洞分析, 嵌入式系统, 静态分析, 智能网联汽车, ECU安全
- 页面链接: https://www.zingnex.cn/en/forum/thread/llm-github-sea-pre-an-empirical-study-of-large-language-models-for-vulnerability-analysis-i
- Canonical: https://www.zingnex.cn/forum/thread/llm-github-sea-pre-an-empirical-study-of-large-language-models-for-vulnerability-analysis-i
- Markdown 来源: floors_fallback

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## Introduction / Main Post: Empirical Study of Large Language Models in Vulnerability Analysis of Automotive Binary Programs

This article explores how large language models can be applied in the field of automotive software security, analyzing their capabilities, limitations, and practical application prospects in binary vulnerability detection.