A Framework of High-Speed Network Protocol Fuzzing Based on Shared Memory
Principal Investigator: Bharat Bhargava
In recent years, security test of network protocols based on fuzzing has been attracting more and more attentions. This is very challenging compared with the stateless software fuzzing and most early network protocol fuzzers are of low speed and poor test effect. Since the first greybox and stateful fuzzer named AFLNET was proposed, several new schemes have been designed to improve its performance from different aspects. During the research, a great challenge is how to greatly improve the fuzzing efficiency. Based on the basic analysis in SNPSFuzzer, this article provides a more thorough analysis about the time consumption in a fuzzing iteration for 13 network protocols and then we design a High-speed Network Protocol Fuzzer named HNPFuzzer. In HNPFuzzer, the test cases and response messages between the client and server are transmitted through the shared memory, guided by a precise synchronizer, rather than the socket interfaces. This greatly shorten the period of an iteration. Moreover, we design a persistent mode attempting to fuzz the service instances in the memory more than one time based on analyzing the side effect information. This mode further improves the speed of fuzzing. Experiment results illustrate that our scheme can improve the fuzzing throughput by about 39.66 times in average and triggers a large number of crashes including 2 new vulnerabilities which cannot discovered by existing fuzzers. Note that, the existing network protocol fuzzing schemes proposed in different directions do not compete with each other and on the contrary, they can collaborate with each other to improve the overall fuzzing effect and efficiency. Consequently, more existing tools can be integrated into our framework to get better network protocol fuzzing effect.
Personnel
Other Faculty:
Junsong Fu
Students:
Junsong Fu; Shuai Xiong; Na Wang; Ruiping Ren; Ang Zhou;
Representative Publications
Abstract:
In recent years, security test of network protocols based on fuzzing has been attracting more and more attentions. This is very challenging compared with the stateless software fuzzing and most early network protocol fuzzers are of low speed and poor test effect. Since the first greybox and stateful fuzzer named AFLNET was proposed, several new schemes have been designed to improve its performance from different aspects. During the research, a great challenge is how to greatly improve the fuzzing efficiency. Based on the basic analysis in SNPSFuzzer, this article provides a more thorough analysis about the time consumption in a fuzzing iteration for 13 network protocols and then we design a High-speed Network Protocol Fuzzer named HNPFuzzer. In HNPFuzzer, the test cases and response messages between the client and server are transmitted through the shared memory, guided by a precise synchronizer, rather than the socket interfaces. This greatly shorten the period of an iteration. Moreover, we design a persistent mode attempting to fuzz the service instances in the memory more than one time based on analyzing the side effect information. This mode further improves the speed of fuzzing. Experiment results illustrate that our scheme can improve the fuzzing throughput by about 39.66 times in average and triggers a large number of crashes including 2 new vulnerabilities which cannot discovered by existing fuzzers. Note that, the existing network protocol fuzzing schemes proposed in different directions do not compete with each other and on the contrary, they can collaborate with each other to improve the overall fuzzing effect and efficiency. Consequently, more existing tools can be integrated into our framework to get better network protocol fuzzing effect.
J. Fu, S. Xiong, N. Wang, R. Ren, A. Zhou and B. K. Bhargava, "A Framework of High-Speed Network Protocol Fuzzing Based on Shared Memory," in IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 4, pp. 2779-2798, July-Aug. 2024, doi: 10.1109/TDSC.2023.3318571
Keywords:
network security Fuzzing;Protocols;Software;Sockets;Synchronization;Servers;Security;High-speed;network protocol fuzzing;shared memory
