Practical automated vulnerability monitoring using program state invariants

Cristiano Giuffrida, L. Cavallaro, A. Tanenbaum
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引用次数: 16

Abstract

Despite the growing attention to security concerns and advances in code verification tools, many memory errors still escape testing and plague production applications with security vulnerabilities. We present RCORE, an efficient dynamic program monitoring infrastructure to perform automated security vulnerability monitoring. Our approach is to perform extensive static analysis at compile time to automatically index program state invariants (PSIs). At runtime, our novel dynamic analysis continuously inspects the program state and produces a report when PSI violations are found. Our technique retrofits existing applications and is designed for both offline and production runs. To avoid slowing down production applications, we can perform our dynamic analysis on idle cores to detect suspicious behavior in the background. The alerts raised by our analysis are symptoms of memory corruption or other-potentially exploitable-dangerous behavior. Our experimental evaluation confirms that RCORE can report on several classes of vulnerabilities with very low overhead.
使用程序状态不变量的实际自动化漏洞监控
尽管越来越多的人关注安全性问题,并且代码验证工具也在不断进步,但是许多内存错误仍然逃过了测试,并通过安全漏洞困扰生产应用程序。我们提出了一种高效的动态程序监控基础设施RCORE,用于自动监控安全漏洞。我们的方法是在编译时执行广泛的静态分析,以自动索引程序状态不变量。在运行时,我们新颖的动态分析持续检查程序状态,并在发现PSI违规时生成报告。我们的技术改进了现有的应用程序,并为离线和生产运行而设计。为了避免降低生产应用程序的速度,我们可以对空闲内核执行动态分析,以检测后台的可疑行为。我们的分析提出的警报是内存损坏或其他潜在可利用的危险行为的症状。我们的实验评估证实,RCORE可以以非常低的开销报告几类漏洞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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