CVE-2024-48063
First published: Tue Oct 29 2024(Updated: )
In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distributed computing.
Credit: cve@mitre.org
| Affected Software | Affected Version | How to fix |
|---|---|---|
| PyTorch | <=2.4.1 |
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Reference Links
- https://rumbling-slice-eb0.notion.site/Distributed-RPC-Framework-RemoteModule-has-Deserialization-RCE-in-pytorch-pytorch-111e3cda9e8c8021a7d3cbc61ee1a20c
- https://gist.github.com/hexian2001/c046c066895a963ecc0a2cf9e1180065
- https://github.com/pytorch/pytorch/issues/129228
- https://github.com/pytorch/pytorch/security/policy#using-distributed-features
Frequently Asked Questions
What is the severity of CVE-2024-48063?
The severity of CVE-2024-48063 is considered critical due to the potential for remote code execution via deserialization vulnerabilities in PyTorch.
How do I fix CVE-2024-48063?
To mitigate CVE-2024-48063, upgrade PyTorch to a version beyond 2.4.1 or ensure that distributed computing features are secured against unauthorized access.
What software is affected by CVE-2024-48063?
CVE-2024-48063 affects PyTorch versions up to and including 2.4.1, specifically targeting its RemoteModule in distributed computing contexts.
Is CVE-2024-48063 a disputed vulnerability?
Yes, CVE-2024-48063 is disputed by multiple parties who claim that the behavior is intended within the context of PyTorch's distributed computing capabilities.
What are the potential consequences of CVE-2024-48063?
The potential consequences of CVE-2024-48063 include remote code execution, leading to unauthorized control over systems running vulnerable PyTorch versions.
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