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TorchServe Pre-Auth Remote Code Execution

Critical severity GitHub Reviewed Published Sep 28, 2023 in pytorch/serve • Updated Oct 2, 2023

Package

pip torchserve (pip)

Affected versions

>= 0.3.0, < 0.8.2

Patched versions

0.8.2

Description

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 - pytorch/serve#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

pytorch/serve#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 aws-security@amazon.com. Please do not create a public GitHub issue.

References

@namannandan namannandan published to pytorch/serve Sep 28, 2023
Published to the GitHub Advisory Database Oct 2, 2023
Reviewed Oct 2, 2023
Last updated Oct 2, 2023

Severity

Critical

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Changed
Confidentiality
High
Integrity
High
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

Weaknesses

CVE ID

No known CVE

GHSA ID

GHSA-4mqg-h5jf-j9m7

Source code

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