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HistoryNov 21, 2023 - 1:40 a.m.

TorchServe ZipSlip

2023-11-2101:40:20
Google
osv.dev
8
torchserve
zipslip
security vulnerability
model management
workflow api
harmful code
open-source
public models
internet
machine advantage
validation
zip archive
patch
release
oligo security
aws security

5.3 Medium

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

LOW

Availability Impact

NONE

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N

7.1 High

AI Score

Confidence

High

0.001 Low

EPSS

Percentile

22.8%

Impact

Using the model/workflow management API, there is a chance of uploading potentially harmful archives that contain files that are extracted to any location on the filesystem that is within the process permissions. Leveraging this issue could aid third-party actors in hiding harmful code in open-source/public models, which can be downloaded from the internet, and take advantage of machines running Torchserve.

Patches

The ZipSlip issue in TorchServe has been fixed by validating the paths of files contained within a zip archive before extracting them: https://github.com/pytorch/serve/pull/2634

TorchServe release 0.9.0 includes fixes to address the ZipSlip vulnerability:
https://github.com/pytorch/serve/releases/tag/v0.9.0

References

https://github.com/pytorch/serve/pull/2634
https://github.com/pytorch/serve/releases/tag/v0.9.0

Credit

We would like to thank Oligo Security for responsibly disclosing this issue.

If you have any questions or comments about this advisory, we ask that you contact AWS Security via our vulnerability reporting page or directly via email to [email protected]. Please do not create a public GitHub issue.

5.3 Medium

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

LOW

Availability Impact

NONE

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N

7.1 High

AI Score

Confidence

High

0.001 Low

EPSS

Percentile

22.8%

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