Fuzzing Protocol Effectiveness in Data Communication Security on RabbitMQ

Abstract

The purpose of this research is to assess the efficacy of the fuzzing approach in assessing data transmission security on the RabbitMQ protocol. Middleware software called RabbitMQ is frequently used in data communications, especially in settings where message-based architectures are used. It is crucial to make sure that communication protocols like RabbitMQ are secured from attacks and security weaknesses that could be exploited by attackers in situations that demand high data security. In this work, the RabbitMQ protocol is automatically tested by inserting erroneous and unexpected information using a technique called fuzzing. We carried out a number of experiments with various input variations and examined the RabbitMQ system's reaction to erroneous input in order to comprehend the efficacy of this technique. Additionally, using legitimate and predictable inputs, we contrast the fuzzing findings with real-world situations. The results suggest that the fuzzing technique is effective in revealing security weaknesses in the RabbitMQ protocol. We discovered a number of previously unidentified security problems, such as buffer overflow vulnerabilities, denial-of-service attacks, and possible sensitive information leaks, through a variety of erroneous inputs. Additionally, a comparison with the typical scenario reveals that while the RabbitMQ protocol is fairly robust against valid input, processing invalid input still need refinement.