CVE-2023-21664 in AQT1000
Summary
by MITRE • 09/05/2023
Memory Corruption in Core Platform while printing the response buffer in log.
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Analysis
by VulDB Data Team • 09/05/2023
This memory corruption vulnerability occurs within the core platform's logging mechanism when processing response buffers during print operations. The flaw manifests as an improper handling of memory allocation and deallocation during log output generation, creating conditions where buffer overflows or underflows can occur. The vulnerability typically arises when the system attempts to format and display response data in log files without adequate bounds checking or memory validation. This type of issue falls under the common weakness enumeration CWE-121 which addresses stack-based buffer overflow conditions. The technical implementation involves the platform's logging subsystem receiving response data structures that may exceed allocated buffer sizes during formatting operations, leading to memory corruption that can potentially be exploited by malicious actors.
The operational impact of this vulnerability extends beyond simple logging failures to encompass potential system instability and security risks. When response buffers are improperly handled during log generation, attackers could manipulate input data to trigger memory corruption patterns that might lead to arbitrary code execution or denial of service conditions. The vulnerability is particularly concerning in environments where the core platform processes untrusted input data from external sources, as the logging mechanism becomes a potential attack vector for heap-based memory corruption exploits. According to ATT&CK framework technique T1562.001, this vulnerability could be leveraged to compromise system integrity through memory corruption attacks that target fundamental platform components.
Mitigation strategies should focus on implementing robust input validation and bounds checking within the logging subsystem. The core platform requires enhanced buffer management procedures that include proper memory allocation sizing, input length validation, and safe string formatting operations to prevent overflow conditions. Security measures should incorporate address space layout randomization ASLR and stack canaries to protect against exploitation attempts. Regular code reviews and static analysis should be conducted to identify potential buffer handling issues in logging components, while dynamic analysis tools can help detect memory corruption patterns during runtime. The platform should also implement proper error handling for logging operations that prevents malformed data from corrupting system memory. Additionally, implementing secure coding practices such as using safe string functions and maintaining strict buffer size limits will significantly reduce the attack surface for this class of vulnerability.
The vulnerability represents a fundamental weakness in platform security architecture where core system components fail to adequately protect against memory corruption during routine operations. Organizations should treat this issue with high priority given its potential to escalate into more severe security incidents, particularly when combined with other vulnerabilities in the system stack. Regular security updates and patches addressing the root cause of buffer handling issues in logging mechanisms are essential for maintaining platform integrity. The remediation process requires careful attention to ensure that logging operations maintain their functionality while eliminating memory corruption risks through proper implementation of secure coding practices and defensive programming techniques throughout the core platform architecture.