CVE-2025-47359 in Snapdragon Compute
Summary
by MITRE • 02/02/2026
Memory Corruption when multiple threads simultaneously access a memory free API.
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Analysis
by VulDB Data Team • 02/17/2026
This vulnerability represents a critical memory corruption issue that occurs when multiple threads concurrently access a memory free API, creating a race condition scenario that can lead to unpredictable system behavior and potential exploitation. The flaw arises from insufficient thread synchronization mechanisms within the memory management subsystem, where simultaneous calls to free() or equivalent deallocation functions from different execution contexts result in corrupted memory structures. Such memory corruption can manifest through various attack vectors including heap corruption, use-after-free conditions, or arbitrary code execution depending on the specific implementation details of the affected system.
The technical implementation of this vulnerability stems from fundamental concurrency issues in memory management libraries where the free() function lacks proper locking mechanisms or atomic operations to handle simultaneous access requests. When multiple threads attempt to free the same memory block or adjacent blocks concurrently, the internal data structures that track free memory become inconsistent, leading to memory corruption that can be exploited by malicious actors. This type of vulnerability is classified as a race condition under CWE-362 and falls under the broader category of memory safety issues that have been extensively documented in security literature.
The operational impact of this vulnerability extends beyond simple memory corruption to potentially enable sophisticated attack scenarios including privilege escalation, denial of service, and remote code execution depending on the system architecture and memory management implementation. Attackers can leverage the race condition to manipulate heap metadata, create dangling pointers, or overwrite critical memory structures that control program execution flow. The vulnerability is particularly dangerous in multi-threaded applications where the timing of thread execution can be manipulated to trigger the race condition consistently, making it a prime target for exploitation in both local and remote attack scenarios.
Mitigation strategies for this vulnerability require comprehensive system hardening approaches that address both the immediate concurrency issues and broader memory safety concerns. Implementing proper thread synchronization mechanisms such as mutex locks, atomic operations, or lock-free data structures within memory management functions can prevent the race condition from occurring. Additionally, employing modern memory safety features like address sanitizers, heap metadata protection, and stack canaries can help detect and prevent exploitation attempts. Organizations should also consider implementing runtime protections such as control flow integrity checks and memory protection mechanisms that can detect and block malicious memory corruption attempts, aligning with defensive techniques outlined in the ATT&CK framework under the memory protection and process injection categories.