Memory corruption via oversized mobile IValue count
Published Apr 19, 2024 · Updated Aug 2, 2024
Out-of-bounds read in PyTorch used by PyTorch Lightning 2.2.0 allows remote authenticated users to corrupt memory via a crafted mobile module. FlatbufferLoader trusts mobile_bytecode's mobile_ivalue_size when it exceeds the ivalues vector, so module parsing reads beyond that vector. Exploitation requires authenticated network access and user interaction to load an attacker-supplied mobile module; arbitrary code execution is not established.
Summary
What happened
Out-of-bounds read in PyTorch used by PyTorch Lightning 2.2.0 allows remote authenticated users to corrupt memory via a crafted mobile module. FlatbufferLoader trusts mobile_bytecode's mobile_ivalue_size when it exceeds the ivalues vector, so module parsing reads beyond that vector. Exploitation requires authenticated network access and user interaction to load an attacker-supplied mobile module; arbitrary code execution is not established.
The record
- CVE
- CVE-2024-31584
- Published
- Apr 19, 2024
- Updated
- Aug 2, 2024
- Vendor
- Lightning AI
- Product
- PyTorch Lightning
- Classifications
- CWE-125, CAPEC-540
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Apr 19, 2024CVE publishedPublication date reported by the CVE source.
- Aug 2, 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?
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- Affected versionversion=2.2.0
What conditions does exploitation require?
What is affected?
Published CVSS scores
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Attacks
What attackers are doing with it
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Public exploit references
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Technologies
Your stack
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Your stack
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