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 - #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

#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]. Please do not create a public GitHub issue.