Memory corruption via unchecked LU pivot indices
Published Jan 3, 2024 · Updated Jun 16, 2025
Out-of-bounds write in paddle.linalg.lu_unpack before 2.6.0 allows context-dependent attackers to crash a process with malformed tensors. The Python wrapper accepts tensors with too few dimensions, and Unpack_Pivot subtracts one from each unchecked pivot before indexing idlst. The affected application must pass attacker-controlled tensors into the API; the resulting out-of-bounds access can corrupt memory or terminate its process.
Summary
What happened
Out-of-bounds write in paddle.linalg.lu_unpack before 2.6.0 allows context-dependent attackers to crash a process with malformed tensors. The Python wrapper accepts tensors with too few dimensions, and Unpack_Pivot subtracts one from each unchecked pivot before indexing idlst. The affected application must pass attacker-controlled tensors into the API; the resulting out-of-bounds access can corrupt memory or terminate its process.
The record
- CVE
- CVE-2023-52307
- Published
- Jan 3, 2024
- Updated
- Jun 16, 2025
- Vendor
- PaddlePaddle
- Product
- PaddlePaddle
- Classifications
- CWE-120, CWE-787, T1203
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Jan 3, 2024CVE publishedPublication date reported by the CVE source.
- Jun 16, 2025Record 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 <2.6.0
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
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- PaddlePaddle lu_unpack malformed-tensor proof of conceptproof of concept · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
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Your stack
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