在api级检测和防御CSRF

Shun Wang, Chao Ni, Jianbo Wang, Changhai Nie
{"title":"在api级检测和防御CSRF","authors":"Shun Wang, Chao Ni, Jianbo Wang, Changhai Nie","doi":"10.1109/ISSREW55968.2022.00043","DOIUrl":null,"url":null,"abstract":"Cross-Site Request Forgery (CSRF) vulnerabilities are severe web vulnerabilities since their characteristics of extreme concealment and heavy harmfulness. However, they have received marginal attention from both the academic and the industry and the detection and protection of CSRF vulnerabilities are still performed predominantly manually. This paper proposes CSRFSolver for API-level CSRF detection and protection with two components: CSRF detector and CSRF defender. The former helps to identify and locate CSRF points where they need CSRF protection, and the latter provides CSRF protection by generating and verifying CSRFToken. We evaluate the effectiveness and efficiency of CSRFSolver on Cisco Webex public URL APIs with the state-of-the-art method. The results indicate that CSRFSolver can effectively and efficiently protect the system from CSRF attacks and have no side effects on systems' functionality. Meanwhile, the practical usefulness of CSRFSolver has also been verified through four years of deployment in Cisco Webex.","PeriodicalId":178302,"journal":{"name":"2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detecting and Defending CSRF at API-Level\",\"authors\":\"Shun Wang, Chao Ni, Jianbo Wang, Changhai Nie\",\"doi\":\"10.1109/ISSREW55968.2022.00043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cross-Site Request Forgery (CSRF) vulnerabilities are severe web vulnerabilities since their characteristics of extreme concealment and heavy harmfulness. However, they have received marginal attention from both the academic and the industry and the detection and protection of CSRF vulnerabilities are still performed predominantly manually. This paper proposes CSRFSolver for API-level CSRF detection and protection with two components: CSRF detector and CSRF defender. The former helps to identify and locate CSRF points where they need CSRF protection, and the latter provides CSRF protection by generating and verifying CSRFToken. We evaluate the effectiveness and efficiency of CSRFSolver on Cisco Webex public URL APIs with the state-of-the-art method. The results indicate that CSRFSolver can effectively and efficiently protect the system from CSRF attacks and have no side effects on systems' functionality. Meanwhile, the practical usefulness of CSRFSolver has also been verified through four years of deployment in Cisco Webex.\",\"PeriodicalId\":178302,\"journal\":{\"name\":\"2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSREW55968.2022.00043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSREW55968.2022.00043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

跨站点请求伪造(CSRF)漏洞具有隐蔽性强、危害性大的特点,是严重的web漏洞。然而,学术界和业界对CSRF漏洞的关注并不多,CSRF漏洞的检测和保护仍然主要是手工进行的。本文提出了用于api级CSRF检测和保护的CSRF求解器,它由两个部分组成:CSRF检测器和CSRF防御器。前者有助于识别和定位需要CSRF保护的CSRF点,后者通过生成和验证CSRFToken来提供CSRF保护。我们用最先进的方法评估了CSRFSolver在Cisco Webex公共URL api上的有效性和效率。结果表明,CSRFSolver可以有效地保护系统免受CSRF攻击,并且对系统的功能没有副作用。同时,CSRFSolver在Cisco Webex中四年的部署也验证了它的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Detecting and Defending CSRF at API-Level
Cross-Site Request Forgery (CSRF) vulnerabilities are severe web vulnerabilities since their characteristics of extreme concealment and heavy harmfulness. However, they have received marginal attention from both the academic and the industry and the detection and protection of CSRF vulnerabilities are still performed predominantly manually. This paper proposes CSRFSolver for API-level CSRF detection and protection with two components: CSRF detector and CSRF defender. The former helps to identify and locate CSRF points where they need CSRF protection, and the latter provides CSRF protection by generating and verifying CSRFToken. We evaluate the effectiveness and efficiency of CSRFSolver on Cisco Webex public URL APIs with the state-of-the-art method. The results indicate that CSRFSolver can effectively and efficiently protect the system from CSRF attacks and have no side effects on systems' functionality. Meanwhile, the practical usefulness of CSRFSolver has also been verified through four years of deployment in Cisco Webex.
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
自引率
0.00%
发文量
0
期刊最新文献
Using Complexity Metrics with Hotspot Analysis to Support Software Sustainability Evaluating Human Locomotion Safety in Mobile Robots Populated Environments Performance Bottleneck Analysis of Drone Computation Offloading to a Shared Fog Node Early Software Defect Prediction: Right-Shifting Software Effort Data into a Defect Curve A Survey on Autonomous Driving System Simulators
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1