Patching vulnerabilities with sanitization synthesis

Fang Yu, Muath Alkhalaf, T. Bultan
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引用次数: 54

Abstract

We present automata-based static string analysis techniques that automatically generate sanitization statements for patching vulnerable web applications. Our approach consists of three phases: Given an attack pattern we first conduct a vulnerability analysis to identify if strings that match the attack pattern can reach the security-sensitive functions. Next, we compute vulnerability signatures that characterize all input strings that can exploit the discovered vulnerability. Given the vulnerability signatures, we then construct sanitization statements that 1) check if a given input matches the vulnerability signature and 2) modify the input in a minimal way so that the modified input does not match the vulnerability signature. Our approach is capable of generating relational vulnerability signatures (and corresponding sanitization statements) for vulnerabilities that are due to more than one input.
使用消毒合成修补漏洞
我们介绍了基于自动机的静态字符串分析技术,该技术可以自动生成清理语句,用于修补易受攻击的web应用程序。我们的方法包括三个阶段:给定一个攻击模式,我们首先进行漏洞分析,以确定匹配攻击模式的字符串是否可以到达安全敏感功能。接下来,我们计算漏洞签名,这些签名描述了可以利用发现的漏洞的所有输入字符串。给定漏洞签名,然后我们构造清理语句,1)检查给定的输入是否与漏洞签名匹配,2)以最小的方式修改输入,使修改后的输入与漏洞签名不匹配。我们的方法能够为由多个输入引起的漏洞生成关系漏洞签名(以及相应的清理声明)。
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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