• DocumentCode
    1797834
  • Title

    Vulnerability mining of Cisco router based on fuzzing

  • Author

    Fengjiao Li ; Luyong Zhang ; Dianjun Chen

  • Author_Institution
    Key Lab. of Universal Wireless Commun., Minist. of Educ., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2014
  • fDate
    15-17 Nov. 2014
  • Firstpage
    649
  • Lastpage
    653
  • Abstract
    Router security analysis plays a vital role in maintaining network security. However, IOS, which runs in Cisco routers, has been proved carrying serious security risks. And in order to improve security, we need to conduct vulnerability mining on IOS. Currently, Fuzzing, as a simple and effective automated test technology, is widely used in vulnerability discovery. In this paper, we introduce a novel testing framework for Cisco routers. Based on this framework, we first generate test cases with Semi-valid Fuzzing Test Cases Generator (SFTCG), which considerably improves the test effectiveness and code coverage. After that, we develop a new Fuzzer based on SFTCG and then emulate Cisco router in Dynamips, which makes it easy to interact with GDB or IDA Pro for debugging. In order to supervise the Target, we employ a Monitor Module to check the status of the router regularly. Finally, through the experiment on ICMP protocol in IOS, we find the released vulnerabilities of Ping of Death and Denial of Service, which demonstrates the effectiveness of our proposed Fuzzer.
  • Keywords
    computer network security; routing protocols; transport protocols; Cisco router mining; Denial of Service; GDB; ICMP protocol; IDA; IOS; SFTCG; dynamip; internet control message protocol; monitor module; network security; router security risk analysis; semivalid fuzzing test case generator; target supervision; Communication networks; Debugging; Monitoring; Routing protocols; Security; Testing; Cisco IOS; Fuzzing; SFTCG; Vulnerability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2014 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-5457-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2014.7009366
  • Filename
    7009366