通过漏洞可达性分析对第三方库漏洞进行影响评估

IF 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Zhizhuang Jia, Chao Yang, Pengbin Feng, Xiaoyun Zhao, Xinghua Li, Jianfeng Ma
{"title":"通过漏洞可达性分析对第三方库漏洞进行影响评估","authors":"Zhizhuang Jia,&nbsp;Chao Yang,&nbsp;Pengbin Feng,&nbsp;Xiaoyun Zhao,&nbsp;Xinghua Li,&nbsp;Jianfeng Ma","doi":"10.1016/j.cose.2025.104546","DOIUrl":null,"url":null,"abstract":"<div><div>Modern software development increasingly relies on third-party libraries (TPLs) to accelerate development, yet this practice introduces security risks when vulnerabilities emerge in dependencies. When a new TPL vulnerability is disclosed, project maintainers must assess whether their projects are affected, a process that demands considerable developer effort. Vulnerability reachability analysis automates this process by evaluating whether a client program’s control flow can reach the vulnerable TPL function. Despite the numerous advantages, however, existing vulnerability reachability analysis fail to account for the impact of path constraints, leading to false alarms by incorrectly identifying unreachable vulnerable functions as reachable. In this paper, we propose CPVRA, a novel impact assessment framework designed to reduce false alarms by incorporating a satisfiability assessment of path constraints into the analysis process. We evaluated CPVRA using a benchmark dataset comprising 201 test cases derived from 6 widely used TPLs and 24 dependent client programs. The results show that CPVRA reduced false alarms by 40.9% compared to Dep-scan and by 39.5% compared to standard vulnerability reachability analysis. Additionally, CPVRA demonstrated high computational efficiency, with an average analysis time of 15.3 s per client program.</div></div>","PeriodicalId":51004,"journal":{"name":"Computers & Security","volume":"157 ","pages":"Article 104546"},"PeriodicalIF":5.4000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact assessment of third-party library vulnerabilities through vulnerability reachability analysis\",\"authors\":\"Zhizhuang Jia,&nbsp;Chao Yang,&nbsp;Pengbin Feng,&nbsp;Xiaoyun Zhao,&nbsp;Xinghua Li,&nbsp;Jianfeng Ma\",\"doi\":\"10.1016/j.cose.2025.104546\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Modern software development increasingly relies on third-party libraries (TPLs) to accelerate development, yet this practice introduces security risks when vulnerabilities emerge in dependencies. When a new TPL vulnerability is disclosed, project maintainers must assess whether their projects are affected, a process that demands considerable developer effort. Vulnerability reachability analysis automates this process by evaluating whether a client program’s control flow can reach the vulnerable TPL function. Despite the numerous advantages, however, existing vulnerability reachability analysis fail to account for the impact of path constraints, leading to false alarms by incorrectly identifying unreachable vulnerable functions as reachable. In this paper, we propose CPVRA, a novel impact assessment framework designed to reduce false alarms by incorporating a satisfiability assessment of path constraints into the analysis process. We evaluated CPVRA using a benchmark dataset comprising 201 test cases derived from 6 widely used TPLs and 24 dependent client programs. The results show that CPVRA reduced false alarms by 40.9% compared to Dep-scan and by 39.5% compared to standard vulnerability reachability analysis. Additionally, CPVRA demonstrated high computational efficiency, with an average analysis time of 15.3 s per client program.</div></div>\",\"PeriodicalId\":51004,\"journal\":{\"name\":\"Computers & Security\",\"volume\":\"157 \",\"pages\":\"Article 104546\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2025-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Security\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167404825002354\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Security","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167404825002354","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

现代软件开发越来越依赖于第三方库(tpl)来加速开发,但是当依赖项中出现漏洞时,这种做法引入了安全风险。当新的TPL漏洞被披露时,项目维护者必须评估他们的项目是否受到影响,这一过程需要开发人员付出相当大的努力。漏洞可达性分析通过评估客户端程序的控制流是否能够到达易受攻击的TPL功能来自动化此过程。尽管有很多优点,但是,现有的漏洞可达性分析没有考虑到路径约束的影响,导致错误地将不可达的漏洞功能识别为可达,从而产生假警报。在本文中,我们提出了一种新的影响评估框架CPVRA,旨在通过将路径约束的满意度评估纳入分析过程来减少误报。我们使用基准数据集评估CPVRA,该数据集包含201个测试用例,这些测试用例来自6个广泛使用的tpl和24个依赖的客户端程序。结果表明,与深度扫描相比,CPVRA减少了40.9%的假警报,与标准漏洞可达性分析相比减少了39.5%。此外,CPVRA显示出很高的计算效率,每个客户端程序的平均分析时间为15.3 s。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact assessment of third-party library vulnerabilities through vulnerability reachability analysis
Modern software development increasingly relies on third-party libraries (TPLs) to accelerate development, yet this practice introduces security risks when vulnerabilities emerge in dependencies. When a new TPL vulnerability is disclosed, project maintainers must assess whether their projects are affected, a process that demands considerable developer effort. Vulnerability reachability analysis automates this process by evaluating whether a client program’s control flow can reach the vulnerable TPL function. Despite the numerous advantages, however, existing vulnerability reachability analysis fail to account for the impact of path constraints, leading to false alarms by incorrectly identifying unreachable vulnerable functions as reachable. In this paper, we propose CPVRA, a novel impact assessment framework designed to reduce false alarms by incorporating a satisfiability assessment of path constraints into the analysis process. We evaluated CPVRA using a benchmark dataset comprising 201 test cases derived from 6 widely used TPLs and 24 dependent client programs. The results show that CPVRA reduced false alarms by 40.9% compared to Dep-scan and by 39.5% compared to standard vulnerability reachability analysis. Additionally, CPVRA demonstrated high computational efficiency, with an average analysis time of 15.3 s per client program.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Computers & Security
Computers & Security 工程技术-计算机:信息系统
CiteScore
12.40
自引率
7.10%
发文量
365
审稿时长
10.7 months
期刊介绍: Computers & Security is the most respected technical journal in the IT security field. With its high-profile editorial board and informative regular features and columns, the journal is essential reading for IT security professionals around the world. Computers & Security provides you with a unique blend of leading edge research and sound practical management advice. It is aimed at the professional involved with computer security, audit, control and data integrity in all sectors - industry, commerce and academia. Recognized worldwide as THE primary source of reference for applied research and technical expertise it is your first step to fully secure systems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信