Memory corruption via unchecked diagonal axis bounds
Published Jul 26, 2023 · Updated Oct 22, 2024
Use-after-free in paddle.diagonal in PaddlePaddle before 2.5.0 allows attackers to corrupt memory via invalid negative axes. DiagonalInferMeta normalized negative axis values but checked only their upper bounds, allowing values below the tensor rank's negative limit to remain negative. Triggering requires an invocation with an out-of-range axis; the vendor demonstrates the condition, but no specific post-corruption outcome is documented.
Summary
What happened
Use-after-free in paddle.diagonal in PaddlePaddle before 2.5.0 allows attackers to corrupt memory via invalid negative axes. DiagonalInferMeta normalized negative axis values but checked only their upper bounds, allowing values below the tensor rank's negative limit to remain negative. Triggering requires an invocation with an out-of-range axis; the vendor demonstrates the condition, but no specific post-corruption outcome is documented.
The record
- CVE
- CVE-2023-38669
- Published
- Jul 26, 2023
- Updated
- Oct 22, 2024
- Vendor
- PaddlePaddle
- Product
- PaddlePaddle
- Classifications
- CWE-416
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Jul 26, 2023CVE publishedPublication date reported by the CVE source.
- Oct 22, 2024Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=0 <2.5.0
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
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Weakness, pattern, technique
Public exploit references
- PDSA-2023-001 paddle.diagonal proof of conceptproof of concept · demonstrated
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Technologies
Your stack
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Your stack
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