Description

Affected products do not properly synchronize access to their monitoring functionality. When multiple clients send concurrent requests, this may lead to incorrect reads or writes, or to corruption of internal memory structures. An authenticated remote attacker with monitoring access can exploit this issue to cause incorrect data processing or a denial-of-service condition.

Executive Summary

Technical Details

Mitigations

References

Additional Metadata

{
  "score": "8.1",
  "pubDate": "2026-09-30T10:17:17.273Z",
  "pubdate": "2026-09-30T10:17:17.273Z",
  "executiveSummary": "This vulnerability is classified as an improper synchronization issue, specifically a race condition affecting the monitoring functionality of the targeted products. The flaw arises from inadequate concurrency control when processing simultaneous requests from multiple clients. An authenticated remote attacker possessing monitoring access can trigger this condition by issuing concurrent requests, leading to non-deterministic behavior within the application memory space.\nThe potential impact includes data corruption, incorrect data processing, and a denial-of-service (DoS) condition due to the compromise of internal memory structures. Because the vulnerability requires the attacker to be authenticated and have specific monitoring privileges, the attack surface is limited to verified users. However, the integrity risks associated with memory corruption and the availability risks posed by a DoS make this a significant security concern. Organizations should prioritize addressing synchronization logic to ensure thread-safe operations during concurrent data access.",
  "technicalDetails": "The root cause of this vulnerability is a lack of proper mutual exclusion (mutex) or atomic synchronization mechanisms within the monitoring component's request handling logic. When multiple requests are processed concurrently, the absence of synchronization primitives leads to a race condition. This allows multiple execution threads to modify or access shared internal memory structures simultaneously without necessary serialization.\nThe exploitation flow begins with an authenticated attacker gaining access to the monitoring interface. By systematically flooding the monitoring endpoint with parallel, high-frequency requests, the attacker induces a race condition between concurrent threads. As the application attempts to read from or write to shared internal memory structures, the unsynchronized threads create inconsistent states. Depending on the memory layout and the sequence of operations, this behavior manifests as either incorrect data processing—where one thread overwrites the state intended for another—or memory corruption. Memory corruption frequently results in illegal memory access or segmentation faults, effectively crashing the monitoring service and resulting in a denial-of-service condition.\nThe vulnerable component is identified as the monitoring subsystem, which fails to correctly manage resource locking during concurrent client interactions. Because the issue is inherent to the handling of asynchronous requests, any implementation lacking appropriate semaphore, spinlock, or mutex locks on critical sections is susceptible. The exploitation is strictly remote, leveraging the network-accessible monitoring interface. While authentication is required to access the monitoring functionality, the ability to escalate impact from simple authorized access to system instability or memory corruption demonstrates a failure in secure coding practices regarding concurrent programming and thread safety."
}