EUVD-2026-24616
GHSA-6g74-v723-hrch
Severity by source
AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:H
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:H
Lifecycle Timeline
4DescriptionCVE.org
Integer overflow in buffer size calculation could result in out of bounds memory access when handling large tensors in Samsung Open Source ONE. Affected version is prior to commit 1.30.0.
AnalysisAI
Integer overflow in tensor buffer size calculation in Samsung Open Source ONE prior to version 1.30.0 allows local attackers with user-level privileges to cause out-of-bounds memory access, leading to information disclosure and denial of service. The vulnerability requires user interaction to process specially crafted large tensor data. CVSS 6.6 indicates moderate severity with local attack vector and high availability impact.
Technical ContextAI
Samsung Open Source ONE is a neural network compiler framework that processes tensor operations. The vulnerability is a classic integer overflow (CWE-190) in buffer size calculation logic, where the product of tensor dimensions or size multiplications fails to check for wraparound before allocating or accessing memory. When processing large tensors, an attacker can craft input that causes the size calculation to overflow, resulting in a smaller-than-expected buffer allocation. Subsequent memory writes or reads then access memory outside the allocated region. The attack vector is local (AV:L) and requires no special privileges (PR:N), but does require user interaction (UI:R) such as loading a malicious model file or tensor input through ONE's processing pipeline.
RemediationAI
Upgrade Samsung Open Source ONE to version 1.30.0 or later, which includes the integer overflow fix from PR #16481. Until patching is possible, restrict tensor input processing to trusted model sources only and implement input validation at the application layer to reject tensor definitions with unusually large dimension values that might trigger integer overflow conditions. Disable automatic model loading or enforce manual review of model files before processing. These workarounds reduce but do not eliminate risk if sophisticated attackers craft overflow conditions that remain undetectable by simple dimension checks. Patch application is the only reliable mitigation.
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Same weakness CWE-190 – Integer Overflow or Wraparound
View allSame technique Integer Overflow
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External POC / Exploit Code
Leaving vuln.today