CVE-2023-20719 in MT6580
Summary
by MITRE • 05/16/2023
In pqframework, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07629583; Issue ID: ALPS07629583.
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Analysis
by VulDB Data Team • 01/24/2025
The vulnerability identified as CVE-2023-20719 affects the pqframework component and represents a critical out-of-bounds read condition that arises from insufficient input validation. This flaw exists within the framework's data processing mechanisms where proper bounds checking has been omitted, creating a scenario where memory access occurs beyond allocated buffer boundaries. The vulnerability specifically impacts systems where the pqframework is deployed and processed, potentially exposing sensitive information through unauthorized memory reads that occur during normal operational procedures.
This technical flaw manifests as a missing bounds check that should validate input parameters before processing them within the framework's memory allocation structures. When the pqframework processes data inputs without proper boundary verification, it can access memory locations that are outside the intended buffer limits, leading to information disclosure. The out-of-bounds read vulnerability operates at the memory management level where the framework fails to enforce proper data size constraints, allowing memory corruption that can be exploited to extract potentially sensitive data from adjacent memory regions.
The operational impact of this vulnerability is significant as it enables local information disclosure when executed with system-level privileges, which represents a serious security risk for systems that rely on the pqframework for data processing operations. Attackers with system execution privileges can leverage this flaw to read memory contents that may contain confidential information such as passwords, cryptographic keys, or other sensitive data stored in adjacent memory locations. The vulnerability does not require user interaction for exploitation, making it particularly dangerous as it can be triggered automatically during normal framework operations without any additional attack vectors.
The patch ID ALPS07629583 addresses this issue through implementation of proper bounds checking mechanisms within the pqframework's data processing routines. This fix ensures that all input data is validated against predetermined buffer limits before any memory access operations occur, preventing the out-of-bounds read conditions that previously existed. The mitigation approach aligns with standard security practices for preventing buffer overflow vulnerabilities and follows established guidelines for secure coding practices that emphasize the importance of input validation and memory safety.
From a cybersecurity perspective, this vulnerability maps to CWE-129, which specifically addresses insufficient bounds checking in input validation processes. The flaw also aligns with ATT&CK technique T1059.001, which involves the use of system commands to gather information from the target system. Organizations should prioritize patching this vulnerability as it represents a direct threat to system confidentiality and could potentially enable further attacks if exploited by malicious actors. The vulnerability's classification as requiring system execution privileges indicates that it operates at a privileged level within the system architecture, making it particularly concerning for environments where administrative access is present.
Security teams should implement comprehensive monitoring for any anomalous memory access patterns that could indicate exploitation attempts, while also ensuring that all systems utilizing the pqframework receive the appropriate patch updates. The vulnerability demonstrates the critical importance of proper input validation and memory safety practices in preventing information disclosure attacks, particularly within frameworks that handle sensitive data processing operations across enterprise environments.