CVE-2025-65891: A GPU device-ID validation flaw in OneFlow v0.9.0 allows attackers to trigger a Denial of Dervice (DoS) by...
A GPU device-ID validation flaw in OneFlow v0.9.0 allows attackers to trigger a Denial of Dervice (DoS) by invoking flow.cuda.get_device_properties() with an invalid or negative device index.
Security readout for executives and security teams
Plain-English summary
This CVE describes a denial-of-service risk in OneFlow v0.9.0. If an attacker can influence a GPU device index passed to flow.cuda.get_device_properties(), an invalid or negative value may crash or disrupt availability. The source bundle does not identify data theft or code execution.
Executive priority
Prioritize if OneFlow v0.9.0 supports customer-facing or shared GPU workloads. Availability loss is the reported impact, not confidentiality or integrity compromise.
Technical view
The reported flaw is improper GPU device-ID validation in OneFlow v0.9.0, mapped to CWE-400. The CVSS 3.1 score is 7.5 with availability impact only. The affected metadata is incomplete, but the description and references identify OneFlow and the get_device_properties CUDA path.
Likely exposure
Exposure appears limited to deployments using OneFlow v0.9.0 with CUDA/GPU functionality where untrusted input can reach GPU device-index handling.
Exploitation context
The bundle marks KEV as false and provides no evidence of active exploitation. Public references include the OneFlow repository and a GitHub issue, but no confirmed patch details are included.
Researcher notes
Affected vendor/product fields are listed as n/a, creating attribution uncertainty. The description identifies OneFlow v0.9.0, but the bundle does not provide fixed versions, vendor advisory details, or active exploitation evidence.
Mitigation direction
Check OneFlow vendor guidance and issue 10661 for fixed release information.
Restrict untrusted access to services calling OneFlow CUDA device-property APIs.
Validate GPU device indices before calling OneFlow APIs.
Block negative or out-of-range device IDs at application boundaries.
Monitor affected services for crashes tied to CUDA device-property lookups.
Validation and detection
Inventory systems running OneFlow and confirm exact versions.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
Conservative CVE-to-ATT&CK context
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ATT&CK lookup starting points
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cwe · low confidence lookup
CWE-400: Exact CWE lookup
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CWE-400 · source CWE mapping
Uncontrolled Resource Consumption
Uncontrolled Resource Consumption represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.