Triforce QNX系统呼叫模糊器

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2019-10-01 DOI:10.1109/ISSREW.2019.00043

Pallavi Pandey, Anupam Sarkar, A. Banerjee

{"title":"Triforce QNX系统呼叫模糊器","authors":"Pallavi Pandey, Anupam Sarkar, A. Banerjee","doi":"10.1109/ISSREW.2019.00043","DOIUrl":null,"url":null,"abstract":"The task of mitigating kernel vulnerabilities in a RTOS kernel like QNX is of utmost importance in recent times. AFL is probably one of the most effective fuzzing tools available, with its functionalities for feedback driven and instrumented fuzzing. In this paper, we present our experience report on developing an environment for fuzzing QNX kernel using AFL.","PeriodicalId":166239,"journal":{"name":"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Triforce QNX Syscall Fuzzer\",\"authors\":\"Pallavi Pandey, Anupam Sarkar, A. Banerjee\",\"doi\":\"10.1109/ISSREW.2019.00043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The task of mitigating kernel vulnerabilities in a RTOS kernel like QNX is of utmost importance in recent times. AFL is probably one of the most effective fuzzing tools available, with its functionalities for feedback driven and instrumented fuzzing. In this paper, we present our experience report on developing an environment for fuzzing QNX kernel using AFL.\",\"PeriodicalId\":166239,\"journal\":{\"name\":\"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSREW.2019.00043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSREW.2019.00043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

在像QNX这样的RTOS内核中，减轻内核漏洞的任务在最近是非常重要的。AFL可能是最有效的模糊测试工具之一，它具有反馈驱动和仪器化模糊测试的功能。在本文中，我们介绍了使用AFL开发QNX内核模糊测试环境的经验报告。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Triforce QNX Syscall Fuzzer

The task of mitigating kernel vulnerabilities in a RTOS kernel like QNX is of utmost importance in recent times. AFL is probably one of the most effective fuzzing tools available, with its functionalities for feedback driven and instrumented fuzzing. In this paper, we present our experience report on developing an environment for fuzzing QNX kernel using AFL.

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

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

自引率

0.00%

发文量