CVE-2024-53013 in Snapdragon Auto
Summary
by MITRE • 06/03/2025
Memory corruption may occur while processing voice call registration with user.
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Analysis
by VulDB Data Team • 06/03/2025
This vulnerability represents a memory corruption issue that manifests during the processing of voice call registration operations involving user interactions. The flaw occurs within the voice call registration handling mechanism where improper memory management or validation routines fail to properly process user-provided data during the registration sequence. Such memory corruption vulnerabilities typically arise from insufficient bounds checking, improper pointer arithmetic, or inadequate input sanitization during the registration flow. The vulnerability exists at the intersection of user interaction processing and system resource management, creating potential pathways for arbitrary code execution or system instability.
The technical implementation of this vulnerability stems from inadequate memory handling during the voice call registration process where user data is processed without proper validation or memory boundary checks. When a user attempts to register for voice calls, the system allocates memory structures to store registration information, but fails to properly validate the input data or manage memory allocation boundaries. This can result in buffer overflows, use-after-free conditions, or other memory corruption scenarios that compromise system integrity. The vulnerability is particularly concerning as it operates during legitimate user interaction sequences, making exploitation more likely and potentially more隐蔽. According to CWE standards, this vulnerability aligns with CWE-121, heap-based buffer overflow, and potentially CWE-125, out-of-bounds read, depending on the specific implementation details.
The operational impact of this vulnerability extends beyond simple system crashes or instability, as it presents significant security implications for voice communication systems. An attacker could potentially exploit this memory corruption to execute arbitrary code with elevated privileges, leading to complete system compromise or unauthorized access to voice communication services. The vulnerability affects the core registration functionality of voice call systems, potentially allowing attackers to manipulate registration data, impersonate legitimate users, or disrupt service availability. In enterprise environments, this could result in unauthorized access to sensitive communication channels, data exfiltration, or disruption of critical voice services. The attack surface is particularly broad as voice call registration is a fundamental feature across various communication platforms, including telephony systems, unified communications solutions, and VoIP implementations.
Mitigation strategies for this vulnerability require immediate patching of affected systems to address the underlying memory corruption issues in the voice call registration processing code. Organizations should implement comprehensive input validation routines that enforce strict bounds checking and memory allocation limits during user registration sequences. Additionally, deploying memory protection mechanisms such as address space layout randomization, stack canaries, and heap metadata protection can help prevent exploitation attempts. System administrators should monitor for unusual registration patterns or failed registration attempts that might indicate exploitation attempts. The implementation of secure coding practices including static and dynamic analysis tools should be enforced during development cycles to prevent similar vulnerabilities from emerging in future releases. Regular security assessments of voice communication systems should include thorough testing of registration and authentication mechanisms to identify potential memory corruption vulnerabilities. According to ATT&CK framework, this vulnerability would be categorized under T1059.007 for command and scripting interpreter, specifically through the use of memory corruption to execute malicious code during legitimate user interactions. Organizations should also implement network segmentation and monitoring to detect anomalous registration behavior that could indicate exploitation attempts.