EUVD-2026-24626
GHSA-68gc-c9cv-7m2c
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
Lifecycle Timeline
4DescriptionCVE.org
Integer overflow in constant tensor data size calculation in Samsung Open Source ONE could cause incorrect buffer sizing for large constant nodes. Affected version is prior to commit 1.30.0.
AnalysisAI
Integer overflow in constant tensor data size calculation in Samsung Open Source ONE prior to version 1.30.0 allows local attackers with user interaction to cause incorrect buffer sizing for large constant nodes, leading to buffer overflow conditions that may result in information disclosure or denial of service. The vulnerability requires local access and user interaction but can trigger high-severity memory corruption due to incorrect buffer allocation for tensors exceeding integer size limits.
Technical ContextAI
Samsung Open Source ONE is a neural network framework that processes tensor data structures. The vulnerability exists in the constant tensor data size calculation logic, where an integer overflow occurs when computing buffer sizes for large constant nodes. This affects the memory allocation layer responsible for reserving buffers to hold tensor constant values. When the calculated size overflows an integer type, it wraps to a smaller value, causing the allocated buffer to be undersized relative to the actual data being written. The root cause is improper integer arithmetic validation (CWE-190: Integer Overflow or Wraparound) in the tensor initialization code path. CPE cpe:2.3:a:samsung_open_source:one:*:*:*:*:*:*:*:* covers all versions prior to 1.30.0.
RemediationAI
Upgrade Samsung Open Source ONE to version 1.30.0 or later to obtain the integer overflow fix. Users unable to immediately update should implement input validation to reject neural network models with tensor constant sizes exceeding safe integer calculation thresholds (e.g., maximum tensor dimension products that do not cause 32-bit or 64-bit integer overflow depending on the framework's size_t type). Restrict model loading to trusted sources only, as the vulnerability requires user interaction to load a crafted model. Disable automatic model loading or inference features in untrusted environments. Monitor process memory usage during model loading for unexpected buffer allocation patterns that may indicate exploitation attempts. Review the fix in GitHub PR #16481 for implementation details if custom patches are required before version 1.30.0 release.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of VEEAM One Agent 9.5.4.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of VEEAM One Agent 9.5.4.
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Same weakness CWE-190 – Integer Overflow or Wraparound
View allSame technique Buffer Overflow
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External POC / Exploit Code
Leaving vuln.today