Redis Info Enumeration Scanner

Redis is an open-source, in-memory data structure store used extensively for caching, message brokering, and data storage. It is widely adopted by developers and organizations for its high performance, versatility in handling various data structures, and support for complex operations. The software is used globally across different industries, ranging from e-commerce to gaming, due to its scalability and reliability. Redis can be employed in IoT projects, real-time analytics, and high-speed transactions. Its ability to persist data on disk and replicate data across multiple servers enhances its appeal for enterprise-grade applications. Additionally, Redis’s support for Lua scripting and transaction capabilities makes it suitable for implementing elaborate business logic.

The vulnerability detected in Redis relates to its ability to expose system information. This information includes details about the software version, architecture, and system metrics. Enumeration vulnerabilities can be exploited by attackers to map the exposed services and potentially discover other vulnerabilities. Such detailed insights can form the basis for further exploitation methods, such as buffer overflows or code injections. It's crucial for security professionals to monitor and restrict unwarranted access to such information as it can lead to information leakage. Enumerating extensive system data with tools like Redis Info is often an initial step in vulnerability assessments.

Redis Info allows retrieval of sensitive information from exposed Redis servers through default or misconfigured settings. The server's open ports and the absence of robust authentication mechanisms make it susceptible to this enumeration vulnerability. Server response can reveal the Redis version, operating system, architecture, process ID, and more through regular expressions applied over the server's response. This technical exposure can enable attackers to fingerprint the server into potential attack strategies. By extracting details such as used memory, CPU metrics, and client connections, further targeted attacks can be planned, emphasizing the need for secure configurations.

When exploited by malicious users, the vulnerability can have several negative consequences. Data about the internal system’s state and performance metrics might be used for further attack preparation. An attacker can use such information to perform denial-of-service attacks tailored to the discovered system specifics. Unauthorized data enumeration may also lead to compliance breaches if sensitive data or configurations are exposed. Moreover, secondary attacks using privilege escalation tactics could be attempted once the information is revealed. Effective protection against such information leaks is crucial to maintain system integrity and confidentiality.

REFERENCES

• https://nmap.org/nsedoc/scripts/redis-info.html