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CVE-2026-65918 (GCVE-0-2026-65918)

Vulnerability from nvd – Published: 2026-07-23 17:36 – Updated: 2026-09-17 17:54 X_Open Source

Title

PyTorch torchvision GIF Decoder Out-of-bounds Heap Read

Summary

PyTorch torchvision through 0.28.0, fixed in commit 4e05dc2, contains an out-of-bounds heap read vulnerability in the GIF decoder's read_from_tensor callback that passes unclamped length to memcpy. Attackers can supply malicious or truncated GIF files to cause denial of service via segmentation fault or disclose adjacent heap memory contents.

Severity

7.1 (High)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:N/VA:H/SC:N/SI:N/SA:N

7.1 (High)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-23 18:11 UTC

CWE

CWE-125 - Out-of-bounds Read

Assigner

VulnCheck mitre root Scorecard

References

4 references

URL	Tags
https://github.com/pytorch/vision/issues/9551	technical-descriptionexploitissue-tracking
https://github.com/pytorch/vision/pull/9520	issue-trackingpatch
https://github.com/pytorch/vision/commit/4e05dc22…	patch
https://www.vulncheck.com/advisories/pytorch-torc…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
pytorch	vision	Affected: 0 , ≤ 0.28.0 (semver) Unaffected: 4e05dc22f5f050a9528cc0ea09ceca6cdaf8f4ed (git)

Date Public

2026-07-13 00:00

Credits

George Chen

Show details on NVD website

JSON

To clipboard

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CVE-2026-24747 (GCVE-0-2026-24747)

Vulnerability from nvd – Published: 2026-01-27 21:13 – Updated: 2026-07-15 01:17

Title

PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files

Summary

PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.

Severity

8.8 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-01-30 04:55 UTC

CWE

CWE-502 - Deserialization of Untrusted Data
CWE-94 - Improper Control of Generation of Code ('Code Injection')

Assigner

GitHub_M mitre root Scorecard

References

8 references

URL	Tags
https://github.com/pytorch/pytorch/security/advis…	x_refsource_CONFIRM
https://github.com/pytorch/pytorch/issues/163105	x_refsource_MISC
https://github.com/pytorch/pytorch/163122/commit/…	x_refsource_MISC
https://github.com/pytorch/pytorch/releases/tag/v2.10.0	x_refsource_MISC
https://access.redhat.com/security/cve/CVE-2026-24747	vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2433612	issue-trackingx_refsource_REDHAT
https://security.access.redhat.com/data/csaf/v2/v…	x_sadp-csaf-vex
https://access.redhat.com/errata/RHSA-2026:24977	vendor-advisoryx_refsource_REDHAT

Impacted products

3 products

Vendor	Product	Version
pytorch	pytorch	Affected: < 2.10.0
Red Hat	Red Hat OpenShift AI 2.25	Unaffected: 1780069069 , < * (rpm) cpe:/a:redhat:openshift_ai:2.25::el9
Red Hat	Red Hat OpenShift AI (RHOAI)	cpe:/a:redhat:openshift_ai

Show details on NVD website

JSON

To clipboard

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CVE-2025-32434 (GCVE-0-2025-32434)

Vulnerability from nvd – Published: 2025-04-18 15:48 – Updated: 2025-12-01 07:05

Title

PyTorch: `torch.load` with `weights_only=True` leads to remote code execution

Summary

PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0.

Severity

9.3 (Critical)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-18 16:06 UTC

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

GitHub_M mitre root Scorecard

References

2 references

URL	Tags
https://github.com/pytorch/pytorch/security/advis…	x_refsource_CONFIRM
https://lists.debian.org/debian-lts-announce/2025…

Impacted products

1 product

Vendor	Product	Version
pytorch	pytorch	Affected: < 2.6.0

Show details on NVD website

JSON

To clipboard

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CVE-2024-6577 (GCVE-0-2024-6577)

Vulnerability from nvd – Published: 2025-03-20 10:10 – Updated: 2025-03-20 18:19

Title

Unclaimed S3 Bucket Usage in pytorch/serve

Summary

In the latest version of pytorch/serve, the script 'upload_results_to_s3.sh' references the S3 bucket 'benchmarkai-metrics-prod' without ensuring its ownership or confirming its accessibility. This could lead to potential security vulnerabilities or unauthorized access to the bucket if it is not properly secured or claimed by the appropriate entity. The issue may result in data breaches, exposure of proprietary information, or unauthorized modifications to stored data.

Severity

6.3 (Medium)


                        
                          CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-03-20 17:48 UTC

CWE

CWE-840 - Business Logic Errors

Assigner

@huntr_ai mitre root Scorecard

References

1 reference

URL	Tags
https://huntr.com/bounties/20917570-8328-428f-bd1…

Impacted products

1 product

Vendor	Product	Version
pytorch	pytorch/serve	Affected: unspecified , ≤ latest (custom)

Show details on NVD website

JSON

To clipboard

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CVE-2024-48063 (GCVE-0-2024-48063)

Vulnerability from nvd – Published: 2024-10-29 00:00 – Updated: 2025-01-09 17:22 Disputed

Summary

In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distributed computing.

Severity

No CVSS data available.

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-01-09 17:19 UTC

CWE

n/a

Assigner

mitre mitre root Scorecard

References

4 references

URL	Tags
https://rumbling-slice-eb0.notion.site/Distribute…
https://gist.github.com/hexian2001/c046c066895a96…
https://github.com/pytorch/pytorch/issues/129228
https://github.com/pytorch/pytorch/security/polic…

Impacted products

1 product

Vendor	Product	Version
pytorch	pytorch	Affected: 0 , ≤ 2.4.1 (custom) cpe:2.3:a:pytorch:pytorch::::::::

Show details on NVD website

JSON

To clipboard

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CVE-2024-35199 (GCVE-0-2024-35199)

Vulnerability from nvd – Published: 2024-07-18 22:40 – Updated: 2024-08-07 15:59

Title

TorchServe gRPC Port Exposure

Summary

TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. In affected versions the two gRPC ports 7070 and 7071, are not bound to [localhost](http://localhost/) by default, so when TorchServe is launched, these two interfaces are bound to all interfaces. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. This issue in TorchServe has been fixed in PR #3083. TorchServe release 0.11.0 includes the fix to address this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Severity

8.2 (High)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-07-19 16:50 UTC

CWE

CWE-668 - Exposure of Resource to Wrong Sphere

Assigner

GitHub_M mitre root Scorecard

References

3 references

URL	Tags
https://github.com/pytorch/serve/security/advisor…	x_refsource_CONFIRM
https://github.com/pytorch/serve/pull/3083	x_refsource_MISC
https://github.com/pytorch/serve/releases/tag/v0.11.0	x_refsource_MISC

Impacted products

2 products

Vendor	Product	Version
pytorch	serve	Affected: >= 0.3.0, < 0.11.0
pytorch	torchserve	Affected: 0.3.0 , < 0.11.0 (custom) cpe:2.3:a:pytorch:torchserve:0.3.0:::::::*

Show details on NVD website

JSON

To clipboard

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CVE-2024-35198 (GCVE-0-2024-35198)

Vulnerability from nvd – Published: 2024-07-18 22:40 – Updated: 2024-08-07 16:00

Title

TorchServe bypass allowed_urls configuration

Summary

TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. TorchServe 's check on allowed_urls configuration can be by-passed if the URL contains characters such as ".." but it does not prevent the model from being downloaded into the model store. Once a file is downloaded, it can be referenced without providing a URL the second time, which effectively bypasses the allowed_urls security check. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. This issue in TorchServe has been fixed by validating the URL without characters such as ".." before downloading see PR #3082. TorchServe release 0.11.0 includes the fix to address this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Severity

9.8 (Critical)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-07-19 16:58 UTC

CWE

CWE-706 - Use of Incorrectly-Resolved Name or Reference

Assigner

GitHub_M mitre root Scorecard

References

3 references

URL	Tags
https://github.com/pytorch/serve/security/advisor…	x_refsource_CONFIRM
https://github.com/pytorch/serve/pull/3082	x_refsource_MISC
https://github.com/pytorch/serve/releases/tag/v0.11.0	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
pytorch	serve	Affected: >= 0.4.2, < 0.11.0

Show details on NVD website

JSON

To clipboard

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CVE-2024-31580 (GCVE-0-2024-31580)

Vulnerability from nvd – Published: 2024-04-17 00:00 – Updated: 2025-03-28 23:47

Summary

PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted input.

Severity

4 (Medium)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-05-10 18:39 UTC

CWE

n/a
CWE-122 - Heap-based Buffer Overflow

Assigner

mitre mitre root Scorecard

References

2 references

URL	Tags
https://github.com/pytorch/pytorch/commit/b5c3a17…
https://gist.github.com/1047524396/038c78f2f00734…

Impacted products

1 product

Vendor	Product	Version
pytorch	pytorch	Affected: 0 , < 2.2.0 (custom) cpe:2.3:a:pytorch:pytorch::::::::

Show details on NVD website

JSON

To clipboard

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CVE-2023-48299 (GCVE-0-2023-48299)

Vulnerability from nvd – Published: 2023-11-21 20:55 – Updated: 2024-08-02 21:23

Title

TorchServe ZipSlip

Summary

TorchServe is a tool for serving and scaling PyTorch models in production. Starting in version 0.1.0 and prior to version 0.9.0, 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. The ZipSlip issue in TorchServe has been fixed by validating the paths of files contained within a zip archive before extracting them. TorchServe release 0.9.0 includes fixes to address the ZipSlip vulnerability.

Severity

5.3 (Medium)


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

CWE

CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Assigner

GitHub_M mitre root Scorecard

References

4 references

URL	Tags
https://github.com/pytorch/serve/security/advisor…	x_refsource_CONFIRM
https://github.com/pytorch/serve/pull/2634	x_refsource_MISC
https://github.com/pytorch/serve/commit/bfb3d4239…	x_refsource_MISC
https://github.com/pytorch/serve/releases/tag/v0.9.0	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
pytorch	serve	Affected: >= 0.1.0, < 0.9.0

Show details on NVD website

JSON

To clipboard

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    "adp": [
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CVE-2023-43654 (GCVE-0-2023-43654)

Vulnerability from nvd – Published: 2023-09-28 22:10 – Updated: 2025-02-13 17:13

Previdian

Title

TorchServe Server-Side Request Forgery

Summary

TorchServe is a tool for serving and scaling PyTorch models in production. 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. A 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 in PR #2534. TorchServe release 0.8.2 includes this change. Users are advised to upgrade. There are no known workarounds for this issue.

Severity

10 (Critical)


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

SSVC

Exploitation: poc Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-09-23 18:11 UTC

CWE

CWE-918 - Server-Side Request Forgery (SSRF)

Assigner

GitHub_M mitre root Scorecard

References

4 references

URL	Tags
https://github.com/pytorch/serve/security/advisor…	x_refsource_CONFIRM
https://github.com/pytorch/serve/pull/2534	x_refsource_MISC
https://github.com/pytorch/serve/releases/tag/v0.8.2	x_refsource_MISC
http://packetstormsecurity.com/files/175095/PyTor…

Impacted products

2 products

Vendor	Product	Version
pytorch	serve	Affected: >= 0.1.0, < 0.8.2
pytorch	torchserve	Affected: 0.1.0 , < 0.8.2 (custom) cpe:2.3:a:pytorch:torchserve::::::::

Show details on NVD website

JSON

To clipboard

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CVE-2026-65918 (GCVE-0-2026-65918)

Vulnerability from cvelistv5 – Published: 2026-07-23 17:36 – Updated: 2026-09-17 17:54 X_Open Source

Title

PyTorch torchvision GIF Decoder Out-of-bounds Heap Read

Summary

PyTorch torchvision through 0.28.0, fixed in commit 4e05dc2, contains an out-of-bounds heap read vulnerability in the GIF decoder's read_from_tensor callback that passes unclamped length to memcpy. Attackers can supply malicious or truncated GIF files to cause denial of service via segmentation fault or disclose adjacent heap memory contents.

Severity

7.1 (High)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:N/VA:H/SC:N/SI:N/SA:N

7.1 (High)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-23 18:11 UTC

CWE

CWE-125 - Out-of-bounds Read

Assigner

VulnCheck mitre root Scorecard

References

4 references

URL	Tags
https://github.com/pytorch/vision/issues/9551	technical-descriptionexploitissue-tracking
https://github.com/pytorch/vision/pull/9520	issue-trackingpatch
https://github.com/pytorch/vision/commit/4e05dc22…	patch
https://www.vulncheck.com/advisories/pytorch-torc…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
pytorch	vision	Affected: 0 , ≤ 0.28.0 (semver) Unaffected: 4e05dc22f5f050a9528cc0ea09ceca6cdaf8f4ed (git)

Date Public

2026-07-13 00:00

Credits

George Chen

Show details on NVD website

JSON

To clipboard

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CVE-2026-24747 (GCVE-0-2026-24747)

Vulnerability from cvelistv5 – Published: 2026-01-27 21:13 – Updated: 2026-07-15 01:17

Title

PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files

Summary

PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.

Severity

8.8 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-01-30 04:55 UTC

CWE

CWE-502 - Deserialization of Untrusted Data
CWE-94 - Improper Control of Generation of Code ('Code Injection')

Assigner

GitHub_M mitre root Scorecard

References

8 references

URL	Tags
https://github.com/pytorch/pytorch/security/advis…	x_refsource_CONFIRM
https://github.com/pytorch/pytorch/issues/163105	x_refsource_MISC
https://github.com/pytorch/pytorch/163122/commit/…	x_refsource_MISC
https://github.com/pytorch/pytorch/releases/tag/v2.10.0	x_refsource_MISC
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https://access.redhat.com/errata/RHSA-2026:24977	vendor-advisoryx_refsource_REDHAT

Impacted products

3 products

Vendor	Product	Version
pytorch	pytorch	Affected: < 2.10.0
Red Hat	Red Hat OpenShift AI 2.25	Unaffected: 1780069069 , < * (rpm) cpe:/a:redhat:openshift_ai:2.25::el9
Red Hat	Red Hat OpenShift AI (RHOAI)	cpe:/a:redhat:openshift_ai

Show details on NVD website

JSON

To clipboard

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CVE-2025-32434 (GCVE-0-2025-32434)

Vulnerability from cvelistv5 – Published: 2025-04-18 15:48 – Updated: 2025-12-01 07:05

Title

PyTorch: `torch.load` with `weights_only=True` leads to remote code execution

Summary

PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0.

Severity

9.3 (Critical)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-18 16:06 UTC

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

GitHub_M mitre root Scorecard

References

2 references

URL	Tags
https://github.com/pytorch/pytorch/security/advis…	x_refsource_CONFIRM
https://lists.debian.org/debian-lts-announce/2025…

Impacted products

1 product

Vendor	Product	Version
pytorch	pytorch	Affected: < 2.6.0

Show details on NVD website

JSON

To clipboard

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CVE-2024-6577 (GCVE-0-2024-6577)

Vulnerability from cvelistv5 – Published: 2025-03-20 10:10 – Updated: 2025-03-20 18:19

Title

Unclaimed S3 Bucket Usage in pytorch/serve

Summary

In the latest version of pytorch/serve, the script 'upload_results_to_s3.sh' references the S3 bucket 'benchmarkai-metrics-prod' without ensuring its ownership or confirming its accessibility. This could lead to potential security vulnerabilities or unauthorized access to the bucket if it is not properly secured or claimed by the appropriate entity. The issue may result in data breaches, exposure of proprietary information, or unauthorized modifications to stored data.

Severity

6.3 (Medium)


                        
                          CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-03-20 17:48 UTC

CWE

CWE-840 - Business Logic Errors

Assigner

@huntr_ai mitre root Scorecard

References

1 reference

URL	Tags
https://huntr.com/bounties/20917570-8328-428f-bd1…

Impacted products

1 product

Vendor	Product	Version
pytorch	pytorch/serve	Affected: unspecified , ≤ latest (custom)

Show details on NVD website

JSON

To clipboard

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CVE-2024-48063 (GCVE-0-2024-48063)

Vulnerability from cvelistv5 – Published: 2024-10-29 00:00 – Updated: 2025-01-09 17:22 Disputed

Summary

In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distributed computing.

Severity

No CVSS data available.

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-01-09 17:19 UTC

CWE

n/a

Assigner

mitre mitre root Scorecard

References

4 references

URL	Tags
https://rumbling-slice-eb0.notion.site/Distribute…
https://gist.github.com/hexian2001/c046c066895a96…
https://github.com/pytorch/pytorch/issues/129228
https://github.com/pytorch/pytorch/security/polic…

Impacted products

1 product

Vendor	Product	Version
pytorch	pytorch	Affected: 0 , ≤ 2.4.1 (custom) cpe:2.3:a:pytorch:pytorch::::::::

Show details on NVD website

JSON

To clipboard

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CVE-2024-35198 (GCVE-0-2024-35198)

Vulnerability from cvelistv5 – Published: 2024-07-18 22:40 – Updated: 2024-08-07 16:00

Title

TorchServe bypass allowed_urls configuration

Summary

TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. TorchServe 's check on allowed_urls configuration can be by-passed if the URL contains characters such as ".." but it does not prevent the model from being downloaded into the model store. Once a file is downloaded, it can be referenced without providing a URL the second time, which effectively bypasses the allowed_urls security check. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. This issue in TorchServe has been fixed by validating the URL without characters such as ".." before downloading see PR #3082. TorchServe release 0.11.0 includes the fix to address this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Severity

9.8 (Critical)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-07-19 16:58 UTC

CWE

CWE-706 - Use of Incorrectly-Resolved Name or Reference

Assigner

GitHub_M mitre root Scorecard

References

3 references

URL	Tags
https://github.com/pytorch/serve/security/advisor…	x_refsource_CONFIRM
https://github.com/pytorch/serve/pull/3082	x_refsource_MISC
https://github.com/pytorch/serve/releases/tag/v0.11.0	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
pytorch	serve	Affected: >= 0.4.2, < 0.11.0

Show details on NVD website

JSON

To clipboard

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          "url": "https://github.com/pytorch/serve/releases/tag/v0.11.0"
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        "advisory": "GHSA-wxcx-gg9c-fwp2",
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      "title": "TorchServe bypass allowed_urls configuration"
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    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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    "datePublished": "2024-07-18T22:40:08.176Z",
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    "dateUpdated": "2024-08-07T16:00:46.093Z",
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  },
  "dataType": "CVE_RECORD",
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}

CVE-2024-35199 (GCVE-0-2024-35199)

Vulnerability from cvelistv5 – Published: 2024-07-18 22:40 – Updated: 2024-08-07 15:59

Title

TorchServe gRPC Port Exposure

Summary

TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. In affected versions the two gRPC ports 7070 and 7071, are not bound to [localhost](http://localhost/) by default, so when TorchServe is launched, these two interfaces are bound to all interfaces. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. This issue in TorchServe has been fixed in PR #3083. TorchServe release 0.11.0 includes the fix to address this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Severity

8.2 (High)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-07-19 16:50 UTC

CWE

CWE-668 - Exposure of Resource to Wrong Sphere

Assigner

GitHub_M mitre root Scorecard

References

3 references

URL	Tags
https://github.com/pytorch/serve/security/advisor…	x_refsource_CONFIRM
https://github.com/pytorch/serve/pull/3083	x_refsource_MISC
https://github.com/pytorch/serve/releases/tag/v0.11.0	x_refsource_MISC

Impacted products

2 products

Vendor	Product	Version
pytorch	serve	Affected: >= 0.3.0, < 0.11.0
pytorch	torchserve	Affected: 0.3.0 , < 0.11.0 (custom) cpe:2.3:a:pytorch:torchserve:0.3.0:::::::*

Show details on NVD website

JSON

To clipboard

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  "containers": {
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CVE-2024-31580 (GCVE-0-2024-31580)

Vulnerability from cvelistv5 – Published: 2024-04-17 00:00 – Updated: 2025-03-28 23:47

Summary

PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted input.

Severity

4 (Medium)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-05-10 18:39 UTC

CWE

n/a
CWE-122 - Heap-based Buffer Overflow

Assigner

mitre mitre root Scorecard

References

2 references

URL	Tags
https://github.com/pytorch/pytorch/commit/b5c3a17…
https://gist.github.com/1047524396/038c78f2f00734…

Impacted products

1 product

Vendor	Product	Version
pytorch	pytorch	Affected: 0 , < 2.2.0 (custom) cpe:2.3:a:pytorch:pytorch::::::::

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "affected": [
          {
            "cpes": [
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CVE-2023-48299 (GCVE-0-2023-48299)

Vulnerability from cvelistv5 – Published: 2023-11-21 20:55 – Updated: 2024-08-02 21:23

Title

TorchServe ZipSlip

Summary

TorchServe is a tool for serving and scaling PyTorch models in production. Starting in version 0.1.0 and prior to version 0.9.0, 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. The ZipSlip issue in TorchServe has been fixed by validating the paths of files contained within a zip archive before extracting them. TorchServe release 0.9.0 includes fixes to address the ZipSlip vulnerability.

Severity

5.3 (Medium)


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

CWE

CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Assigner

GitHub_M mitre root Scorecard

References

4 references

URL	Tags
https://github.com/pytorch/serve/security/advisor…	x_refsource_CONFIRM
https://github.com/pytorch/serve/pull/2634	x_refsource_MISC
https://github.com/pytorch/serve/commit/bfb3d4239…	x_refsource_MISC
https://github.com/pytorch/serve/releases/tag/v0.9.0	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
pytorch	serve	Affected: >= 0.1.0, < 0.9.0

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-02T21:23:39.504Z",
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          "product": "serve",
          "vendor": "pytorch",
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CVE-2023-43654 (GCVE-0-2023-43654)

Vulnerability from cvelistv5 – Published: 2023-09-28 22:10 – Updated: 2025-02-13 17:13

Previdian

Title

TorchServe Server-Side Request Forgery

Summary

TorchServe is a tool for serving and scaling PyTorch models in production. 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. A 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 in PR #2534. TorchServe release 0.8.2 includes this change. Users are advised to upgrade. There are no known workarounds for this issue.

Severity

10 (Critical)


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

SSVC

Exploitation: poc Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-09-23 18:11 UTC

CWE

CWE-918 - Server-Side Request Forgery (SSRF)

Assigner

GitHub_M mitre root Scorecard

References

4 references

URL	Tags
https://github.com/pytorch/serve/security/advisor…	x_refsource_CONFIRM
https://github.com/pytorch/serve/pull/2534	x_refsource_MISC
https://github.com/pytorch/serve/releases/tag/v0.8.2	x_refsource_MISC
http://packetstormsecurity.com/files/175095/PyTor…

Impacted products

2 products

Vendor	Product	Version
pytorch	serve	Affected: >= 0.1.0, < 0.8.2
pytorch	torchserve	Affected: 0.1.0 , < 0.8.2 (custom) cpe:2.3:a:pytorch:torchserve::::::::

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{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-02T19:44:43.856Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "name": "https://github.com/pytorch/serve/security/advisories/GHSA-8fxr-qfr9-p34w",
            "tags": [
              "x_refsource_CONFIRM",
              "x_transferred"
            ],
            "url": "https://github.com/pytorch/serve/security/advisories/GHSA-8fxr-qfr9-p34w"
          },
          {
            "name": "https://github.com/pytorch/serve/pull/2534",
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/pytorch/serve/pull/2534"
          },
          {
            "name": "https://github.com/pytorch/serve/releases/tag/v0.8.2",
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/pytorch/serve/releases/tag/v0.8.2"
          },
          {
            "tags": [
              "x_transferred"
            ],
            "url": "http://packetstormsecurity.com/files/175095/PyTorch-Model-Server-Registration-Deserialization-Remote-Code-Execution.html"
          }
        ],
        "title": "CVE Program Container"
      },
      {
        "affected": [
          {
            "cpes": [
              "cpe:2.3:a:pytorch:torchserve:*:*:*:*:*:*:*:*"
            ],
            "defaultStatus": "unknown",
            "product": "torchserve",
            "vendor": "pytorch",
            "versions": [
              {
                "lessThan": "0.8.2",
                "status": "affected",
                "version": "0.1.0",
                "versionType": "custom"
              }
            ]
          }
        ],
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2023-43654",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-09-23T18:11:45.025680Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
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        ],
        "providerMetadata": {
          "dateUpdated": "2024-09-23T18:12:51.982Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "serve",
          "vendor": "pytorch",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 0.1.0, \u003c 0.8.2"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "TorchServe is a tool for serving and scaling PyTorch models in production. 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. A 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 in PR #2534. TorchServe release 0.8.2 includes this change. Users are advised to upgrade. There are no known workarounds for this issue."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 10,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-918",
              "description": "CWE-918: Server-Side Request Forgery (SSRF)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2023-10-13T15:06:29.225Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/pytorch/serve/security/advisories/GHSA-8fxr-qfr9-p34w",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/pytorch/serve/security/advisories/GHSA-8fxr-qfr9-p34w"
        },
        {
          "name": "https://github.com/pytorch/serve/pull/2534",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/pytorch/serve/pull/2534"
        },
        {
          "name": "https://github.com/pytorch/serve/releases/tag/v0.8.2",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/pytorch/serve/releases/tag/v0.8.2"
        },
        {
          "url": "http://packetstormsecurity.com/files/175095/PyTorch-Model-Server-Registration-Deserialization-Remote-Code-Execution.html"
        }
      ],
      "source": {
        "advisory": "GHSA-8fxr-qfr9-p34w",
        "discovery": "UNKNOWN"
      },
      "title": "TorchServe Server-Side Request Forgery"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2023-43654",
    "datePublished": "2023-09-28T22:10:09.497Z",
    "dateReserved": "2023-09-20T15:35:38.147Z",
    "dateUpdated": "2025-02-13T17:13:27.341Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

AVID-2023-V015

Vulnerability from avid – Published: 2023-03-31 – Updated: 2023-03-31 ATLAS Case Study

Summary

Linux packages for PyTorch's pre-release version, called Pytorch-nightly, were compromised from December 25 to 30, 2022 by a malicious binary uploaded to the Python Package Index (PyPI) code repository. The malicious binary had the same name as a PyTorch dependency and the PyPI package manager (pip) installed this malicious package instead of the legitimate one. This supply chain attack, also known as "dependency confusion," exposed sensitive information of Linux machines with the affected pip-installed versions of PyTorch-nightly. On December 30, 2022, PyTorch announced the incident and initial steps towards mitigation, including the rename and removal of `torchtriton` dependencies.

Risk domain

Security

SEP view

S0202: Software Compromise

Lifecycle

L02: Data Understanding, L03: Data Preparation, L04: Model Development, L05: Evaluation, L06: Deployment

Organisations

PyTorch (deployer)

Affected artifacts

1 artifact

Artifact	Type
PyTorch	System

References

3 references

URL	Label
https://atlas.mitre.org/studies/AML.CS0015	Compromised PyTorch Dependency Chain
https://pytorch.org/blog/compromised-nightly-depe…	PyTorch statement on compromised dependency
https://www.bleepingcomputer.com/news/security/py…	Analysis by BleepingComputer

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To clipboard

{
  "affects": {
    "artifacts": [
      {
        "name": "PyTorch",
        "type": "System"
      }
    ],
    "deployer": [
      "PyTorch"
    ],
    "developer": []
  },
  "credit": [
    {
      "lang": "eng",
      "value": "PyTorch"
    }
  ],
  "data_type": "AVID",
  "data_version": "0.2",
  "description": {
    "lang": "eng",
    "value": "Linux packages for PyTorch\u0027s pre-release version, called Pytorch-nightly, were compromised from December 25 to 30, 2022 by a malicious binary uploaded to the Python Package Index (PyPI) code repository.  The malicious binary had the same name as a PyTorch dependency and the PyPI package manager (pip) installed this malicious package instead of the legitimate one.\n\nThis supply chain attack, also known as \"dependency confusion,\" exposed sensitive information of Linux machines with the affected pip-installed versions of PyTorch-nightly. On December 30, 2022, PyTorch announced the incident and initial steps towards mitigation, including the rename and removal of `torchtriton` dependencies."
  },
  "impact": {
    "avid": {
      "lifecycle_view": [
        "L02: Data Understanding",
        "L03: Data Preparation",
        "L04: Model Development",
        "L05: Evaluation",
        "L06: Deployment"
      ],
      "risk_domain": [
        "Security"
      ],
      "sep_view": [
        "S0202: Software Compromise"
      ],
      "taxonomy_version": "0.2"
    }
  },
  "last_modified_date": "2023-03-31",
  "metadata": {
    "vuln_id": "AVID-2023-V015"
  },
  "problemtype": {
    "classof": "ATLAS Case Study",
    "description": {
      "lang": "eng",
      "value": "Compromised PyTorch Dependency Chain"
    },
    "type": "Advisory"
  },
  "published_date": "2023-03-31",
  "references": [
    {
      "label": "Compromised PyTorch Dependency Chain",
      "type": "source",
      "url": "https://atlas.mitre.org/studies/AML.CS0015"
    },
    {
      "label": "PyTorch statement on compromised dependency",
      "type": "source",
      "url": "https://pytorch.org/blog/compromised-nightly-dependency/"
    },
    {
      "label": "Analysis by BleepingComputer",
      "type": "source",
      "url": "https://www.bleepingcomputer.com/news/security/pytorch-discloses-malicious-dependency-chain-compromise-over-holidays/"
    }
  ],
  "reports": null
}

Find a vulnerability

Search criteria

21 vulnerabilities by pytorch

CVE-2026-65918 (GCVE-0-2026-65918)

CVE-2026-24747 (GCVE-0-2026-24747)

CVE-2025-32434 (GCVE-0-2025-32434)

CVE-2024-6577 (GCVE-0-2024-6577)

CVE-2024-48063 (GCVE-0-2024-48063)

CVE-2024-35199 (GCVE-0-2024-35199)

CVE-2024-35198 (GCVE-0-2024-35198)

CVE-2024-31580 (GCVE-0-2024-31580)

CVE-2023-48299 (GCVE-0-2023-48299)

CVE-2023-43654 (GCVE-0-2023-43654)

CVE-2026-65918 (GCVE-0-2026-65918)

CVE-2026-24747 (GCVE-0-2026-24747)

CVE-2025-32434 (GCVE-0-2025-32434)

CVE-2024-6577 (GCVE-0-2024-6577)

CVE-2024-48063 (GCVE-0-2024-48063)

CVE-2024-35198 (GCVE-0-2024-35198)

CVE-2024-35199 (GCVE-0-2024-35199)

CVE-2024-31580 (GCVE-0-2024-31580)

CVE-2023-48299 (GCVE-0-2023-48299)

CVE-2023-43654 (GCVE-0-2023-43654)

AVID-2023-V015