CVE-2025-47356 in Snapdragon Compute
Summary
by MITRE • 01/07/2026
Memory Corruption when multiple threads concurrently access and modify shared resources.
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Analysis
by VulDB Data Team • 01/08/2026
This vulnerability represents a critical memory corruption issue that emerges when multiple threads simultaneously access and modify shared resources within a software application. The flaw occurs at the concurrency control level where proper synchronization mechanisms fail to prevent race conditions and data races during thread execution. Such memory corruption vulnerabilities are particularly dangerous because they can lead to unpredictable application behavior, system crashes, or potentially exploitable conditions that allow attackers to execute arbitrary code. The vulnerability manifests when the underlying memory management system does not adequately protect shared data structures from concurrent modification, creating opportunities for memory corruption that can be leveraged by malicious actors. This type of issue commonly affects multi-threaded applications where developers assume that concurrent access patterns are safe without implementing proper locking mechanisms or atomic operations.
The technical implementation of this vulnerability stems from inadequate thread synchronization protocols within the application's memory management subsystem. When multiple threads attempt to read from and write to the same memory locations simultaneously, the absence of proper mutual exclusion mechanisms such as mutex locks, semaphores, or atomic operations creates a window of opportunity for memory corruption. The flaw typically occurs in scenarios where shared variables are modified without proper locking, leading to situations where one thread's modifications interfere with another thread's operations, potentially causing buffer overflows, use-after-free conditions, or other memory integrity violations. This class of vulnerability falls under the broader category of race conditions as defined by the common weakness enumeration standard CWE-362, which specifically addresses concurrent execution issues that can result in security flaws. The vulnerability can be classified under the ATT&CK technique T1059.007 for process injection or T1070.006 for indicator removal, depending on the exploitation vector and target system.
The operational impact of this vulnerability extends beyond simple application instability to potentially severe security consequences that can affect entire system infrastructures. When exploited successfully, the memory corruption can lead to denial of service conditions that crash the application or system, or more critically, provide attackers with opportunities to execute malicious code with elevated privileges. The vulnerability's exploitation potential increases significantly in environments where the affected application runs with administrative privileges or has access to sensitive system resources. Additionally, the intermittent nature of race conditions makes this vulnerability particularly challenging to detect and reproduce during testing phases, as the timing requirements for exploitation may be difficult to achieve consistently. Organizations relying on multi-threaded applications for critical operations face substantial risk from this vulnerability, as it can compromise the integrity of data processing pipelines and potentially allow unauthorized access to confidential information.
Mitigation strategies for this vulnerability require comprehensive implementation of proper thread synchronization mechanisms throughout the application architecture. The most effective approach involves implementing robust locking mechanisms such as mutexes, critical sections, or atomic operations to ensure exclusive access to shared resources during modification. Developers should employ defensive programming practices including proper initialization of shared variables, use of thread-safe data structures, and implementation of proper memory barriers to prevent reordering issues. Regular code reviews and static analysis tools should be utilized to identify potential race conditions before deployment, with particular attention to areas where shared state is modified across multiple execution paths. The implementation of memory safety features such as stack canaries, address space layout randomization, and heap metadata protection can provide additional defense-in-depth measures. Organizations should also consider implementing runtime monitoring systems that can detect anomalous thread behavior and memory access patterns that may indicate exploitation attempts. Compliance with industry standards such as those defined by the open web application security project and secure coding guidelines should be maintained to ensure proper implementation of concurrency controls. Regular security updates and patches should be deployed promptly to address any identified race conditions, and system administrators should monitor for unusual application behavior that might indicate exploitation attempts.