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Security Advisories: GSA_kwCzR0hTQS04ZnhyLXFmcjktcDM0d84AA2Lz

TorchServe Server-Side Request Forgery vulnerability

Impact

Remote Server-Side Request Forgery (SSRF)
Issue: TorchServe default configuration lacks proper input validation, enabling third parties to invoke remote HTTP download requests and write files to the disk. This issue could be taken advantage of to compromise the integrity of the system and sensitive data. This issue is present in versions 0.1.0 to 0.8.1.
Mitigation: The user is able to load the model of their choice from any URL that they would like to use. The user of TorchServe is responsible for configuring both the allowed_urls and specifying the model URL to be used. A pull request to warn the user when the default value for allowed_urls is used has been merged - https://github.com/pytorch/serve/pull/2534. TorchServe release 0.8.2 includes this change.

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/blob/b3eced56b4d9d5d3b8597aa506a0bcf954d291bc/docs/configuration.md?plain=1#L296
https://github.com/pytorch/serve/pull/2534
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.

Permalink: https://github.com/advisories/GHSA-8fxr-qfr9-p34w
JSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS04ZnhyLXFmcjktcDM0d84AA2Lz
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Critical
Classification: General
Published: about 1 year ago
Updated: about 1 year ago

CVSS Score: 9.8
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

EPSS Percentage: 0.13428
EPSS Percentile: 0.9574

Identifiers: GHSA-8fxr-qfr9-p34w, CVE-2023-43654
References:

• https://github.com/pytorch/serve/security/advisories/GHSA-8fxr-qfr9-p34w
• https://nvd.nist.gov/vuln/detail/CVE-2023-43654
• https://github.com/pytorch/serve/pull/2534
• https://github.com/pytorch/serve/releases/tag/v0.8.2
• http://packetstormsecurity.com/files/175095/PyTorch-Model-Server-Registration-Deserialization-Remote-Code-Execution.html
• https://github.com/advisories/GHSA-8fxr-qfr9-p34w

Repository: https://github.com/pytorch/serve
Blast Radius: 20.3

Affected Packages