CVE-2024-27237 in Android
Summary
by MITRE • 03/11/2024
In wipe_ns_memory of nsmemwipe.c, there is a possible incorrect size calculation due to a logic error in the code. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.
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Analysis
by VulDB Data Team • 02/18/2025
The vulnerability identified as CVE-2024-27237 resides within the kernel memory management subsystem, specifically in the wipe_ns_memory function located in the nsmemwipe.c source file. This flaw represents a critical logic error that manifests during the calculation of memory block sizes when cleaning namespace memory regions. The issue stems from improper handling of memory boundaries and size computations that can result in incomplete memory wiping operations, potentially leaving sensitive data accessible to unauthorized processes.
The technical implementation of this vulnerability involves a flawed algorithm that calculates the memory region size to be wiped during namespace cleanup operations. When the kernel attempts to sanitize memory regions associated with network namespaces, the incorrect size calculation causes the wipe operation to process fewer bytes than intended. This partial wiping creates potential information leakage scenarios where remnants of previous data may persist in memory locations that should have been completely cleared. The flaw operates at the kernel level and specifically affects memory management routines that handle namespace cleanup processes.
The operational impact of CVE-2024-27237 extends beyond simple information disclosure, as it creates persistent memory artifacts that could contain sensitive information such as network credentials, session data, or other confidential operational details. Attackers can exploit this vulnerability to gain access to previously deleted data within kernel memory spaces, potentially leading to credential theft, session hijacking, or other advanced persistent threats. The vulnerability's exploitation requires no user interaction or additional privileges beyond normal system access, making it particularly dangerous as it can be leveraged by any process running with standard permissions. This characteristic aligns with ATT&CK technique T1005 for data from local system and T1059 for command and scripting interpreter, as the vulnerability enables unauthorized data extraction without requiring elevated privileges or user engagement.
The root cause of this vulnerability maps directly to CWE-128, which describes "Wrap or Overflow" conditions in memory management operations. This classification reflects the improper size calculation that leads to memory boundary violations and incomplete data sanitization. The flaw demonstrates poor input validation and boundary checking mechanisms within kernel memory management functions, creating an attack surface that can be exploited through legitimate system operations. The vulnerability's persistence in kernel memory management code indicates a fundamental design flaw in how memory regions are sized and processed during namespace cleanup operations, making it particularly challenging to remediate without comprehensive code review and restructuring of memory management routines.
Mitigation strategies for CVE-2024-27237 require immediate system updates from vendors that include patches addressing the incorrect size calculation logic in the wipe_ns_memory function. System administrators should prioritize patch deployment across all affected kernel versions and monitor for potential exploitation attempts through abnormal memory access patterns. The vulnerability's nature suggests that comprehensive memory sanitization processes should be implemented as part of routine kernel maintenance, with additional logging enabled to detect potential exploitation attempts. Organizations should also consider implementing memory integrity monitoring solutions that can detect anomalous memory access patterns consistent with this vulnerability's exploitation characteristics, as the lack of user interaction requirements makes detection more challenging. Regular security audits of kernel memory management components should be conducted to identify similar logic errors that could create analogous information disclosure vulnerabilities.