CVE-2026-21370 in Snapdragon Mobile
Summary
by MITRE • 07/06/2026
Memory Corruption when validating input batch size and buffer plane count exceeds maximum allowed values.
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Analysis
by VulDB Data Team • 07/06/2026
This vulnerability represents a critical memory corruption issue that occurs during input validation processes when batch sizes and buffer plane counts exceed predefined maximum thresholds. The flaw manifests in systems where input parameters are not properly bounded or validated against acceptable limits, creating opportunities for attackers to manipulate memory structures through carefully crafted inputs. When the system attempts to process data with excessive batch dimensions or buffer plane configurations, it fails to enforce proper boundary checks, leading to potential buffer overflows, heap corruption, or stack corruption depending on the implementation details.
The technical execution of this vulnerability typically involves sending malicious input sequences that contain oversized batch size specifications or buffer plane counts that surpass system-defined maximums. Such inputs can cause the application to allocate insufficient memory for processing operations or attempt to access memory regions beyond allocated boundaries. This type of flaw commonly arises in multimedia processing frameworks, graphics drivers, and embedded systems where batch processing is prevalent and memory management is critical. The vulnerability directly maps to CWE-122, which describes heap-based buffer overflow conditions, and may also align with CWE-787, representing out-of-bounds write vulnerabilities that occur when data is written beyond the boundaries of allocated buffers.
From an operational perspective, this vulnerability can enable attackers to execute arbitrary code within the target system's memory space, potentially leading to complete system compromise. The impact extends beyond simple denial of service scenarios as attackers can leverage the memory corruption to escalate privileges, bypass security controls, or establish persistent backdoors. In environments where real-time processing or high-throughput operations are required, such vulnerabilities can be particularly dangerous as they may allow for subtle timing-based attacks or covert channel establishment. The attack surface is broad across various system components including device drivers, multimedia frameworks, and operating system kernels where batch processing logic is implemented.
Mitigation strategies must address both immediate defensive measures and long-term architectural improvements to prevent similar issues from recurring. Input validation mechanisms should be strengthened with comprehensive boundary checks that enforce strict limits on batch size parameters and buffer plane counts before any memory allocation occurs. Implementing robust memory safety practices including stack canaries, heap metadata protection, and address space layout randomization can significantly reduce exploitability. Additionally, developers should adopt secure coding practices that align with defense-in-depth principles and consider implementing runtime monitoring systems to detect anomalous memory access patterns. Organizations should also ensure that their security testing includes comprehensive fuzzing campaigns targeting input validation boundaries to identify similar vulnerabilities before they can be exploited in production environments.
The vulnerability demonstrates how seemingly simple input validation failures can create significant security risks in complex software systems, particularly those handling multimedia or real-time data processing. It highlights the importance of considering memory safety implications during system design phases and emphasizes that boundary checking should not be treated as an afterthought but rather as a fundamental security control. This type of vulnerability is particularly concerning given its potential for privilege escalation and code execution, making it a high-priority target for both automated scanning tools and manual penetration testing activities across enterprise environments.