How severe is CVE-2025-32434?

CVE-2025-32434 has a CVSS 3.x base score of 9.8, rated critical severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity high, and availability high.

Is CVE-2025-32434 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 2% (77th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2025-32434?

CVE-2025-32434 affects Linuxfoundation Pytorch. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2025-32434?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its critical severity, prioritise patching exposed systems.

Does CVE-2025-32434 have an EU (EUVD) identifier?

Yes. CVE-2025-32434 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-11856.

When was CVE-2025-32434 published?

CVE-2025-32434 was published on 2025-04-18 and last updated on 2026-06-17.

CVE-2025-32434

CVE-2025-32434 is a critical-severity vulnerability in Linuxfoundation Pytorch with a CVSS 3.x base score of 9.8. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-502.

Key facts

Severity: Critical (CVSS 3.x base score 9.8)
CVSS v4: 9.3
EPSS exploit prediction: 2% (77th percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2025-11856
Weakness: CWE-502
Affected product: Linuxfoundation Pytorch
Published: 2025-04-18
Last modified: 2026-06-17

Description

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.

Frequently asked questions

What is CVE-2025-32434?: 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.
How severe is CVE-2025-32434?: CVE-2025-32434 has a CVSS 3.x base score of 9.8, rated critical severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity high, and availability high.
Is CVE-2025-32434 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 2% (77th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2025-32434?: CVE-2025-32434 affects Linuxfoundation Pytorch. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2025-32434?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its critical severity, prioritise patching exposed systems.
Does CVE-2025-32434 have an EU (EUVD) identifier?: Yes. CVE-2025-32434 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-11856.
When was CVE-2025-32434 published?: CVE-2025-32434 was published on 2025-04-18 and last updated on 2026-06-17.

References

Affected products (1)

cpe:2.3:a:linuxfoundation:pytorch:*:*:*:*:*:python:*:*

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