Description: An attacker, by controlling or compromising the Redis server, sends a crafted Redis response containing excessively long string or array lengths. Vulnerabilities in hiredis
's response parsing functions, specifically in buffer length validation, can lead to a buffer overflow when processing this response.
Impact:
- Application crash (Denial of Service).
- Potentially, arbitrary code execution if the overflow overwrites critical memory regions, allowing the attacker to gain control of the application process.
Hiredis Component Affected: Response parsing functions within
redisReader
(e.g.,redisReaderFeed
,redisReaderGetReply
), particularly buffer management within these functions. Risk Severity: Critical Mitigation Strategies: - Use latest
hiredis
version: Upgrade to the newest stable version ofhiredis
as these vulnerabilities are often patched in updates. - Input validation on Redis server (if feasible): Implement measures to validate or sanitize data sent to Redis to prevent injection of malicious payloads that could be reflected in responses.
- Memory safety tools during development: Utilize memory safety tools like AddressSanitizer (ASan) and MemorySanitizer (MSan) during development and testing to proactively detect buffer overflows and memory errors.
- Operating System level protections: Ensure operating system level security features like Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) are enabled to hinder exploitation.
Description: An attacker crafts a Redis response with manipulated integer values (e.g., lengths, counts) specifically designed to trigger integer overflows or underflows during parsing within hiredis
. This can result in incorrect memory allocation sizes or other unexpected program behavior.
Impact:
- Unexpected application behavior and potential instability.
- Memory corruption if incorrect memory allocation leads to out-of-bounds memory access (read or write).
- Denial of Service due to crashes or resource exhaustion caused by memory corruption.
Hiredis Component Affected: Response parsing functions within
redisReader
, specifically integer parsing and handling logic. Risk Severity: High Mitigation Strategies: - Use latest
hiredis
version: Ensure you are using the most recent version ofhiredis
which includes fixes for potential integer overflow vulnerabilities. - Code review of
hiredis
usage: Review application code to ensure it robustly handles potentially large or unusual integer values received from Redis responses and avoids assumptions about integer ranges without validation. - Input validation on Redis server (indirect): Similar to buffer overflows, limiting the potential for malicious data injection into Redis can reduce the attack surface.
Description: A vulnerability within hiredis
's memory management logic can lead to a use-after-free condition. This occurs when memory is deallocated (freed), but a pointer to that memory is still used later in the program. Specific sequences of Redis commands, responses, or error conditions within hiredis
could trigger this.
Impact:
- Application crash (Denial of Service).
- Potentially, arbitrary code execution if the freed memory is reallocated and attacker-controlled data is placed in that memory location before the invalid pointer is used.
Hiredis Component Affected: Memory management functions throughout
hiredis
, potentially affecting various modules depending on the specific vulnerability. Risk Severity: Critical Mitigation Strategies: - Use latest
hiredis
version: Upgrade to the latesthiredis
version as use-after-free vulnerabilities are frequently addressed in library updates. - Memory safety tools during development: Utilize tools like Valgrind or AddressSanitizer during development and testing to detect use-after-free errors and other memory-related issues.
- Careful resource management in application code: Review application code to ensure proper handling of
hiredis
connection and context objects, minimizing the risk of triggering use-after-free conditions withinhiredis
.
Description: A bug in hiredis
could cause memory to be freed more than once (double-free). This corrupts memory management metadata and can lead to unpredictable and potentially exploitable behavior.
Impact:
- Application crash (Denial of Service).
- Potentially, memory corruption that could be exploited to achieve arbitrary code execution by manipulating memory management structures.
Hiredis Component Affected: Memory management functions within
hiredis
. Risk Severity: Critical Mitigation Strategies: - Use latest
hiredis
version: Upgrade to the latesthiredis
version to benefit from bug fixes, including those addressing double-free vulnerabilities. - Memory safety tools during development: Use Valgrind or AddressSanitizer during testing to detect double-free errors early in the development cycle.
- Thorough testing and code review: Implement comprehensive testing and code review processes to identify and prevent potential double-free scenarios in both
hiredis
itself (if contributing) and in application code usinghiredis
.