CVE-2026-25283 in Snapdragon Compute
Summary
by MITRE • 09/17/2026
Memory Corruption when copying unverified data from an external source exceeds the allocated buffer size.
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Analysis
by VulDB Data Team • 09/17/2026
The vulnerability described constitutes a classic heap or stack-based buffer overflow condition arising from insufficient boundary checks during memory operations involving external inputs. This flaw typically manifests when software allocates a fixed-size buffer to store data received from an untrusted source, such as network packets, file contents, or user-supplied arguments, but fails to validate that the incoming data length does not exceed the pre-allocated capacity. When the copy operation proceeds without verifying the size of the input against the destination buffer's limits, excess bytes are written beyond the allocated memory boundaries. This overwriting corrupts adjacent memory structures, which can include critical control data such as return addresses on the stack or metadata fields in heap allocations like chunk headers and pointers. The severity of this issue is compounded by its potential to allow arbitrary code execution if an attacker can precisely craft the overflow payload to overwrite function pointers or exception handling routines with shellcode or ROP gadgets, thereby hijacking the control flow of the vulnerable application.
From a technical perspective, this defect aligns directly with CWE-120, Buffer Copy without Checking Size of Input, and often intersects with CWE-787, Out-of-bounds Write, depending on whether the overflow occurs in stack or heap memory environments. The root cause lies in the developer's assumption that external data will always conform to expected dimensions, a common oversight in legacy codebases or hastily implemented features lacking rigorous input validation protocols. In many cases, this vulnerability is exacerbated by the use of unsafe standard library functions such as strcpy, strcat, or gets in C and C++ environments, which do not perform bounds checking themselves. Even when safer alternatives are used, logical errors in calculating buffer sizes based on dynamic inputs can still lead to similar outcomes if the calculation logic contains off-by-one errors or fails to account for null terminators and encoding overheads.
The operational impact of this vulnerability is severe, potentially leading to complete system compromise. Beyond arbitrary code execution, memory corruption can cause application crashes resulting in denial-of-service conditions, data leakage through information disclosure via corrupted pointers revealing adjacent memory contents, or instability that triggers security mitigations like ASLR bypasses if the attacker gains partial control over memory layout. In network-facing services, this flaw allows remote attackers to exploit the vulnerability without authentication by sending specially crafted packets that trigger the overflow upon processing. For local applications, it may require a lower-privileged user to execute malicious input within an application running with higher privileges, facilitating privilege escalation attacks.
Mitigation strategies must focus on both immediate code fixes and long-term architectural improvements. Developers should immediately replace unsafe memory copy functions with their bounded equivalents, such as strncpy or memcpy_s, ensuring that the size parameter is strictly validated against the destination buffer's actual capacity before any write operation occurs. Input validation mechanisms must be implemented to check data length prior to processing, rejecting payloads that exceed defined thresholds. Furthermore, adopting modern programming languages with automatic memory management and bounds checking can significantly reduce the risk of such vulnerabilities. On a systemic level, enabling compiler security features like stack canaries, Data Execution Prevention (DEP), and Address Space Layout Randomization (ASLR) provides essential layers of defense-in-depth that mitigate exploitation success rates even if the underlying code flaw remains present. Regular static analysis scanning using tools configured to detect CWE-120 patterns is also recommended to identify similar issues across large codebases proactively.