自动化漏洞分析的历史和未来

Adam Doupé
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引用次数: 0

摘要

我们现代社会赖以运行的软件充斥着安全漏洞。这些漏洞允许黑客访问我们的敏感数据,使我们的系统不安全。为了识别软件中的漏洞,需要聘请人类专家或漏洞研究人员。这些人类专家非常昂贵。而且,更根本的是,人类专家无法分析对每个软件所做的每个更改(任何更改都可能引入安全漏洞)。因此,开发了自动化漏洞分析技术来自动执行识别软件系统中的安全漏洞的过程。这些工具试图使漏洞分析过程民主化:允许任何开发人员自动识别其软件中的漏洞,从而在恶意黑客之前发现这些漏洞。在这个主题演讲中,我将从二进制和web的角度讨论自动化漏洞分析的历史。二进制模糊测试和黑盒web应用程序漏洞分析有许多共同之处,但通常被认为是分开的。由此,我将讨论自动化脆弱性分析的未来,以及我们如何实现人类脆弱性研究人员的有效性。
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History and Future of Automated Vulnerability Analysis
The software upon which our modern society operates is riddled with security vulnerabilities. These vulnerabilities allow hackers access to our sensitive data and make our system insecure. To identify vulnerabilities in software, human experts, or vulnerability researchers, are employed. These human experts are quite expensive. And, more fundamentally, human experts cannot analyze every change made to every piece of software (any of which could introduce a security vulnerability). Therefore, automated vulnerability analysis techniques were developed to automatically perform the process of identifying security vulnerabilities in software systems. These tools attempt to democratize the vulnerability analysis process: allowing any developer to identify vulnerabilities in their software automatically, thus finding such vulnerabilities before a malicious hacker. In this keynote, I will discuss the history of automated vulnerability analysis, from both the binary and the web perspective. Binary fuzzing and black-box web application vulnerability analysis have many aspects in common, yet are often thought of separately. From this, I will discuss the future of automated vulnerability analysis, and how we can achieve the effectiveness of a human vulnerability researcher.
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Session details: Keynote Address I Poster Expat HITC IoT Passport: A Blockchain-Based Trust Framework for Collaborative Internet-of-Things
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