RIBDetector: an RFC-guided Inconsistency Bug Detecting Approach for Protocol Implementations
Jingting Chen, Feng Li, Mingjie Xu, Jianhua Zhou, Wei Huo · 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · 2022
The implementations of network protocols must comply with rules described in their Request For Comments (RFC) Standards. Developers' misunderstanding or negligence of RFCs may bring in inconsistency bugs, which could further cause incorrect behaviors, interoperability issues, or critical security implications. Detecting such bugs is difficult as they usually result in silent erroneous effect. Prior work on RFC-directed inconsistency bug detection usually deal with a certain protocol or ad-hoc properties in RFCs. In this paper, we present RIBDetector, an approach focusing on statically and efficiently locating inconsistency bugs that could be triggered by hand-crafted network packets in protocol implementations. Given an implementation, its corresponding RFCs and a user-provided configuration file, our approach automatically extracts rules about packet format, state transition and error handling from RFCs into a uniform format which dictates condition checks that must be performed before taking particular operations. Then we leverage common programming conventions to identify corresponding locations of the conditions and operations in implementations and use a light-weight predominator-based algorithm to detect violations of RFC rules. We implemented a prototype of RIBDetector and demonstrated its efficacy by applying it on 14 implementations of 5 network protocols. For implementations varying in size from 1.5 to 141.3 KLOC, RIBDetector consumes 17.57 seconds on average to finish its analysis. We have detected 23 new inconsistency bugs, 6 of which are confirmed and fixed by developers.