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5 vulnerabilities found for PyTorch
CVE-2026-24747 (GCVE-0-2026-24747)
Vulnerability from nvd – Published: 2026-01-27 21:13 – Updated: 2026-06-30 12:06
VLAI
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)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
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 |
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
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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
VLAI
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
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/pytorch/pytorch/security/advis… | x_refsource_CONFIRM |
| https://lists.debian.org/debian-lts-announce/2025… |
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CVE-2026-24747 (GCVE-0-2026-24747)
Vulnerability from cvelistv5 – Published: 2026-01-27 21:13 – Updated: 2026-06-30 12:06
VLAI
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)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
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 |
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Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| pytorch | pytorch |
Affected:
< 2.10.0
|
|
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cpe:/a:redhat:openshift_ai:2.25::el9 |
|
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cpe:/a:redhat:openshift_ai |
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"name": "https://github.com/pytorch/pytorch/issues/163105",
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"name": "https://github.com/pytorch/pytorch/163122/commit/954dc5183ee9205cbe79876ad05dd2d9ae752139",
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"url": "https://github.com/pytorch/pytorch/163122/commit/954dc5183ee9205cbe79876ad05dd2d9ae752139"
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{
"name": "https://github.com/pytorch/pytorch/releases/tag/v2.10.0",
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"title": "PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files"
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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
VLAI
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
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/pytorch/pytorch/security/advis… | x_refsource_CONFIRM |
| https://lists.debian.org/debian-lts-announce/2025… |
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AVID-2023-V015
Vulnerability from avid – Published: 2023-03-31 – Updated: 2023-03-31 ATLAS Case StudySummary
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 |