CVE-2026-25294 in Snapdragon CCW
Summary
by MITRE • 09/17/2026
Transient DOS while parsing frame during channel usage.
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Analysis
by VulDB Data Team • 09/17/2026
The vulnerability described as a transient Denial of Service (DoS) condition occurring during the parsing of frames within an active communication channel represents a significant reliability risk in networked systems and protocol implementations. This flaw typically manifests when a software component responsible for processing incoming data packets or message frames encounters malformed, unexpected, or excessively large input structures while maintaining state associated with an established session. Unlike persistent crashes that require service restarts to recover, this transient nature implies that the system may temporarily become unresponsive or drop connections due to resource exhaustion, such as memory allocation failures or CPU spikes caused by complex parsing logic, before potentially recovering if the offending traffic ceases. However, in high-throughput environments, these temporary stalls can accumulate, leading to sustained service degradation for legitimate users and effectively achieving a denial of state even without permanent system failure.
From a technical perspective, this issue often stems from insufficient validation or bounds checking within the frame parsing routine. When the parser processes specific fields such as length indicators, headers, or payload sizes, it may attempt to allocate buffers based on untrusted input values without verifying their consistency against protocol specifications or available system resources. For instance, if a frame header claims a payload size that exceeds the maximum allowed by the channel configuration, and the implementation attempts to pre-allocate memory for this entire block before validating other constraints, it can trigger an out-of-memory condition or cause the parsing thread to hang while waiting for insufficiently allocated resources. This is particularly dangerous in channels where multiple concurrent sessions are managed, as a single malicious frame from one client can consume enough system resources to impact the processing capability of the entire service instance, affecting all connected users rather than just the source of the attack.
The operational impact of this vulnerability extends beyond simple connectivity loss. In real-time communication protocols or financial transaction systems where low latency is critical, even a brief interruption in frame parsing can result in data corruption, missed deadlines for time-sensitive operations, or synchronization errors between distributed components. Attackers can exploit this by sending a continuous stream of carefully crafted frames designed to trigger the resource exhaustion condition repeatedly. This creates a sustained pressure on the system's memory manager and CPU scheduler, leading to increased latency and packet loss across all active channels. The transient nature makes detection difficult because standard monitoring tools might not flag a permanent crash, but rather observe intermittent spikes in error rates or response times that fluctuate based on traffic patterns, allowing attackers to maintain their assault without triggering immediate automated shutdowns of the affected service.
This type of vulnerability aligns closely with CWE-400: Uncontrolled Resource Consumption and CWE-20: Improper Input Validation within the Common Weakness Enumeration framework. It also maps to MITRE ATT&CK technique T1498: Network Denial of Service, specifically under sub-techniques involving resource exhaustion through protocol abuse or volumetric attacks that target application-layer processing logic rather than just bandwidth saturation. The exploitation vector is typically remote if the channel is exposed over a network, allowing unauthenticated attackers to trigger the condition without prior access credentials, which significantly increases its severity rating in vulnerability scoring systems like CVSS due to the ease of execution and broad impact on availability.
Mitigation strategies must focus on rigorous input validation and robust resource management within the frame parsing logic. Developers should implement strict length checks that ensure claimed payload sizes do not exceed predefined maximums or available memory limits before any allocation occurs. Additionally, employing timeout mechanisms for parsing operations can prevent threads from hanging indefinitely during complex processing tasks. Implementing rate limiting at the channel level helps mitigate volumetric aspects of the attack by restricting the number of frames a single client can send within a specific time window. Furthermore, adopting defensive programming practices such as using safe string handling functions and validating header fields against protocol specifications before proceeding with deeper parsing steps will reduce the surface area for this vulnerability. Regular fuzzing tests targeting edge cases in frame structures are essential to identify these transient conditions during development rather than in production environments where they can be exploited by malicious actors seeking to disrupt service availability.