CVE-2026-25271 in Snapdragon Compute
Summary
by MITRE • 07/06/2026
Memory Corruption when processing asynchronous input parameters due to improper handling of modified values between check and use.
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Analysis
by VulDB Data Team • 07/06/2026
This vulnerability represents a classic race condition scenario that manifests as memory corruption during asynchronous input parameter processing. The flaw occurs when a system checks certain input parameters and subsequently modifies them before the check results are utilized, creating a temporal window where the system operates on stale or inconsistent data states. This type of vulnerability falls under the CWE-367 category known as "Time-of-Check to Time-of-Use" or TOCTOU errors, which represent a fundamental security anti-pattern where the state of a resource changes between verification and actual usage.
The technical implementation involves asynchronous processing mechanisms where input validation occurs at one point in the execution flow while the same parameters are modified by concurrent operations before being processed. This creates opportunities for attackers to manipulate input values during the window between validation and use, potentially leading to memory corruption through buffer overflows, use-after-free conditions, or other heap-based vulnerabilities. The asynchronous nature of the processing complicates detection as the race condition may not manifest consistently, making exploitation both challenging to reproduce and difficult to patch effectively.
Operational impacts of this vulnerability extend beyond simple memory corruption to encompass potential privilege escalation, denial of service conditions, and in severe cases, remote code execution depending on the system architecture. Attackers can exploit this weakness by carefully timing their input modifications to coincide with the vulnerable window, potentially causing the application to dereference invalid memory locations or execute arbitrary code within the context of the affected process. The vulnerability affects systems that rely heavily on concurrent processing or event-driven architectures where asynchronous operations are common.
Mitigation strategies should focus on eliminating the race condition through proper synchronization mechanisms including mutex locks, atomic operations, or immutable data structures that prevent modification during critical validation phases. Implementing input validation at multiple points in the execution flow and ensuring parameter consistency throughout the entire processing pipeline addresses the root cause. Security controls should also incorporate proper memory management practices such as bounds checking, stack canaries, and address space layout randomization to reduce exploitability. The approach aligns with ATT&CK technique T1068 which targets local privilege escalation through race conditions and improper input validation.
Systems implementing asynchronous processing must adopt defensive programming practices that prevent modification of validated parameters until after the check has been fully consumed. This includes redesigning workflows to avoid the temporal gap between parameter verification and usage, potentially through immediate parameter copying, transactional processing patterns, or event-driven architectures that maintain consistent state throughout execution phases. Regular code reviews focusing on asynchronous processing patterns and race condition detection tools should be employed as part of comprehensive security testing procedures to identify similar vulnerabilities across the codebase.
The vulnerability demonstrates the inherent complexity of securing concurrent systems where traditional single-threaded security models fail to account for temporal inconsistencies in parameter handling. Modern application security frameworks must incorporate asynchronous threat modeling that considers not just the static properties of code but also its dynamic behavior under concurrent execution conditions. This requires developers and security teams to understand both the theoretical aspects of race conditions and practical implementation patterns that can prevent such vulnerabilities from manifesting in production environments.