Skip to content
Fencer Intel
critical 9.9

GHSA-4mqg-h5jf-j9m7 json

TorchServe Pre-Auth Remote Code Execution

published 3y ago modified last yr.

cvss
9.9
version 3.1, GitHub
cisa kev
Not listed
not in CISA's catalog
epss
—
no score, EPSS covers CVEs only
public exploits
0
none known

Summary

## 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[)](https://aws.amazon.com/security/vulnerability-reporting)) or directly via email to [aws-security@amazon.com](mailto:aws-security@amazon.com). Please do not create a public GitHub issue.

Patch / fix

  • pypi torchserve 0.8.2

Is GHSA-4mqg-h5jf-j9m7 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.

Check with Fencer

CVSS scores

assigned by version score vector
GitHub 3.1 9.9 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

Affected packages

ecosystem package affected fixed in
pypi torchserve
>=0.3.0, <0.8.2
0.8.2

Classification

Weakness
  • CWE-913 Improper Control of Dynamically-Managed Code Resources

References

Sources

Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.