MQueez: Specification-Driven Fuzzing for MQTT Broker (Registered Report)

Recently, the MQTT protocol, favored for its lightweight nature, has emerged as a preferred choice for IoT communications. However, MQTT brokers—the critical components responsible for message routing— are vulnerable to memory corruption, posing significant security risks. Although several fuzzers have been proposed to uncover memory corruption in brokers, their effectiveness is constrained by two fundamental limitations. First, existing fuzzers struggle to satisfy MQTT's complex constraints when generating valid test cases. Second, the protocol's extensive field variations across different packets complicate the mutation process, as existing black-box fuzzers cannot prioritize high-risk fields, leading to blind mutations.

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Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1145/3713081.3731724
Citations
1
Primary Topic
Software Testing and Debugging Techniques
Type
article
Field-Weighted Citation Impact
2.31

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MQueez: Specification-Driven Fuzzing for MQTT Broker (Registered Report)

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Software Testing and Debugging Techniques
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article

MQueez: Specification-Driven Fuzzing for MQTT Broker (Registered Report)

Wenhai Wang, X. M. Liu, Shouling Ji, Qinying Wang, Peiyu Liu
article en
1 citations

Abstract

Recently, the MQTT protocol, favored for its lightweight nature, has emerged as a preferred choice for IoT communications. However, MQTT brokers—the critical components responsible for message routing— are vulnerable to memory corruption, posing significant security risks. Although several fuzzers have been proposed to uncover memory corruption in brokers, their effectiveness is constrained by two fundamental limitations. First, existing fuzzers struggle to satisfy MQTT's complex constraints when generating valid test cases. Second, the protocol's extensive field variations across different packets complicate the mutation process, as existing black-box fuzzers cannot prioritize high-risk fields, leading to blind mutations.

Zhejiang University (CN)
China Postdoctoral Science Foundation, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 14%
Software Testing and Debugging Techniques
2.31
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