Browser Fuzzing Technique Based on Pattern-Generation
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Program of Key Laboratory of Network Assessment Technology, the Chinese Academy of Sciences; Program of Beijing Key Laboratory of Network Security and Protection Technology; Foundation of Key Laboratory of Network Assessment Technology, the Chinese Academy of Sciences (CXJJ-17S049); National Key Research and Development Program of China (2016QY0714 05)

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    Abstract:

    Fuzzing is widely used for browser vulnerability mining,and one of the key factors determining its effectiveness is the test pattern written by the tester.Considering that the test pattern is written with high cost and short survival time,in this article,an automatic construction of fuzzy tester based on pattern-generation is presented.By analyzing the known vulnerability samples and extracting the test pattern automatically,the traditional mutation strategy is then applied to each module in the pattern to complete the automatic generation of the abnormal samples.Experimental results show that in average it takes only 11.168 seconds to finish the automatic construction of 1 089 different fuzzy testers based on 1 089 known vulnerabilities for five browsers,which has much lower time-consumption than that required by testers themselves.Applying on IE 10,IE11 and Firefox 54.0 Web browser with randomly selected 10 fuzzy testers,the new method discovered a total of 57 different bugs,including a high-risk unknown vulnerability.This demonstrates that this method has better capability at finding the unknown vulnerability.

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霍玮,戴戈,史记,龚晓锐,贾晓启,宋振宇,刘宝旭,邹维.基于模式生成的浏览器模糊测试技术.软件学报,2018,29(5):1275-1287

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History
  • Received:July 01,2017
  • Revised:August 29,2017
  • Adopted:November 21,2017
  • Online: January 09,2018
  • Published:
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