Incorrect tensor output via repeated permutation dimensions
Published Jun 6, 2024 · Updated Mar 25, 2025
Incorrect calculation in OneFlow 0.9.1 permute allows attackers to produce incorrect tensor output via a permutation that repeats a dimension. The operator processes a dimension sequence containing the same dimension more than once rather than rejecting it as an invalid permutation, so the resulting tensor calculation is wrong. Triggering the defect requires control over the dimension sequence passed by consuming code; public sources document incorrect output but no further security consequence.
Summary
What happened
Incorrect calculation in OneFlow 0.9.1 permute allows attackers to produce incorrect tensor output via a permutation that repeats a dimension. The operator processes a dimension sequence containing the same dimension more than once rather than rejecting it as an invalid permutation, so the resulting tensor calculation is wrong. Triggering the defect requires control over the dimension sequence passed by consuming code; public sources document incorrect output but no further security consequence.
The record
- CVE
- CVE-2024-36736
- Published
- Jun 6, 2024
- Updated
- Mar 25, 2025
- Vendor
- Unknown vendor
- Product
- Unknown product
- Classifications
- CWE-682
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Jun 6, 2024CVE publishedPublication date reported by the CVE source.
- Mar 25, 2025Record updatedLatest update available in the CVE record.
Exploitability
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What is affected?
Affected products and versions are unavailable in this record.
Attacks
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Weakness, pattern, technique
Public exploit references
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Technologies
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