AI agent vulnerability · TorchServe

GHSA-4mqg-h5jf-j9m7: TorchServe Pre-Auth Remote Code Execution

criticalCVSS 3.1 9.9

Impact Use of Open Source Library potentially exposed to RCE Issue: Use of a version of the SnakeYAML v1.31 open source library with multiple issues that potentially exposes the user to unsafe deserialization of Java objects. This could allow third parties to execute arbitrary code on the target system. This issue is present in versions 0.3.0 to 0.8.1.

Published Oct 2, 2023

Affected packages

torchserve

Ecosystem: PyPI
Affected: >= 0.3.0, < 0.8.2
Fixed in: 0.8.2
Check: pip show torchserve

Advisory details

From the GitHub Advisory Database (CC BY 4.0).

Impact

Use of Open Source Library potentially exposed to RCE Issue: Use of a version of the SnakeYAML v1.31 open source library with multiple issues that potentially exposes the user to unsafe deserialization of Java objects. This could allow third parties to execute arbitrary code on the target system. This issue is present in versions 0.3.0 to 0.8.1. Mitigation: A pull request to address this issue has been merged - https://github.com/pytorch/serve/pull/2523. TorchServe release 0.8.2 includes this fix.

Patches

TorchServe release 0.8.2 includes fixes to address the previously listed issue:

https://github.com/pytorch/serve/releases/tag/v0.8.2

Tags for upgraded DLC release User can use the following new image tags to pull DLCs that ship with patched TorchServe version 0.8.2: x86 GPU

v1.9-pt-ec2-2.0.1-inf-gpu-py310
v1.8-pt-sagemaker-2.0.1-inf-gpu-py310

x86 CPU

v1.8-pt-ec2-2.0.1-inf-cpu-py310
v1.7-pt-sagemaker-2.0.1-inf-cpu-py310

Graviton

v1.7-pt-graviton-ec2-2.0.1-inf-cpu-py310
v1.5-pt-graviton-sagemaker-2.0.1-inf-cpu-py310

Neuron

1.13.1-neuron-py310-sdk2.13.2-ubuntu20.04
1.13.1-neuronx-py310-sdk2.13.2-ubuntu20.04
1.13.1-neuronx-py310-sdk2.13.2-ubuntu20.04

The full DLC image URI details can be found at: https://github.com/aws/deep-learning-containers/blob/master/available_images.md#available-deep-learning-containers-images

References

https://github.com/pytorch/serve/pull/2523 https://github.com/pytorch/serve/releases/tag/v0.8.2 https://github.com/aws/deep-learning-containers/blob/master/available_images.md#available-deep-learning-containers-images

Credit

We would like to thank Oligo Security for responsibly disclosing this issue and working with us on its resolution. If you have any questions or comments about this advisory, we ask that you contact AWS/Amazon Security via our vulnerability reporting page](https://aws.amazon.com/security/vulnerability-reporting)) or directly via email to [[email protected]](mailto:[email protected]). Please do not create a public GitHub issue.

References

How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology

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