开车进入未知领域:调查和解决车辆信息娱乐系统的安全漏洞
Minrui Yan1, George Crane2, Dean Suillivan2
1School of Science, Computing and Emerging Technologies, Swinburne University of Technology, Hawthorn Campus, Melbourne, VIC 3122, Australia.
连接车辆信息娱乐系统中的硬编码凭证构成了车队范围内的安全风险. 一个新的框架有效地发现和利用这些漏洞,使得远程控制车辆,并促使快速修补.
科学领域:
- 网络安全 网络安全
- 汽车工程 汽车工程
- 软件安全 软件安全
背景情况:
- 连接和自动化车辆依赖车载信息娱乐 (IVI) 系统作为车辆网络和云服务的关键环节.
- 在IVI固件中的硬编码凭据存在重大安全漏洞,可能允许本地漏洞远程损害整个车队.
研究的目的:
- 开发和评估一个新的跨层安全框架,用于识别和缓解汽车IVI系统中具有高影响的网络漏洞.
- 证明该框架在发现系统安全漏洞和实现现实世界漏洞的有效性.
主要方法:
- 拟议的框架整合了固件提取,符号执行和有针对性的模糊,以模拟IVI到后端通信.
- 这种方法重建系统交互以发现诸如服务器端请求伪造 (SSRF) 和受损的访问控制等漏洞.
主要成果:
- 该框架应用于来自主要OEM (梅赛德斯-奔,特斯拉,SAIC,FAW-VW,Denza) 的七个不同的汽车系统,一级供应商 (博世) 和ADAS供应商 (Minieye).
- 它成功识别了23个漏洞,包括7个CVE,导致了一个被证明的漏洞,可以远程控制大约600万辆梅赛德斯-奔汽车.
- 所有发现的漏洞都在披露后一个月内被修复.
结论:
- 该研究强调了汽车IVI安全架构中的系统反模式.
- 该研究强调,对于封闭的汽车生态系统,安全评估的有效性应通过发现可操作的全车队攻击路径而不是仅仅通过代码覆盖来衡量.
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