CVE-2025-46150Public exploitNetwork attack vector

Silent output corruption via miscomputed pooling offsets

Published Sep 25, 2025 · Updated Sep 25, 2025

Incorrect calculation in PyTorch 2.6.0 allows context-dependent attackers to induce wrong FractionalMaxPool2d output through torch.compile. The Inductor lowering reads random samples from the wrong dimension and uses floor instead of truncation when computing pooling offsets. Reachability requires compiled execution of the affected layer, and the bounded consequence is silently incorrect tensor output that can taint downstream model decisions.

CVSS severity5.3
Medium
EPSS probability0.39%
Next 30 days · Sep 16, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
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Summary

What happened

Incorrect calculation in PyTorch 2.6.0 allows context-dependent attackers to induce wrong FractionalMaxPool2d output through torch.compile. The Inductor lowering reads random samples from the wrong dimension and uses floor instead of truncation when computing pooling offsets. Reachability requires compiled execution of the affected layer, and the bounded consequence is silently incorrect tensor output that can taint downstream model decisions.

The record

CVE
CVE-2025-46150
Published
Sep 25, 2025
Updated
Sep 25, 2025
Vendor
Unknown vendor
Product
Unknown product
Classifications
Unavailable
Attack vector
network
Privileges
unauthenticated

Timeline

How it unfolded

  1. Sep 25, 2025CVE publishedPublication date reported by the CVE source.
  2. Sep 25, 2025Record updatedLatest update available in the CVE record.

Exploitability

Present is not the same as exploitable

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Is a vulnerable build present?

Affected buildAffected product and version details are unavailable.

What conditions does exploitation require?

Attack vectornetwork
Required privilegesunauthenticated

What is affected?

Affected products and versions are unavailable in this record.

Published CVSS scores

5.3CISA-ADPCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

CVSS describes severity. EPSS estimates exploitation probability.

Attacks

What attackers are doing with it

Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.

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No observations available

Sep 10, 2026Sep 16, 2026
Latest reporting daySep 16, 2026
Latest daily unique IPsUnavailable
Prior 30-day averageUnavailable
SourceShadowserver honeypots (KEV)
Vectornetwork
Privilegesunauthenticated
Known exploitationUnconfirmed
Public exploitPublished

Weakness, pattern, technique

No sourced classifications are available.

Public exploit references

Labels summarize the accepted research assessment. They do not indicate a test against your environment.

Technologies

Your stack

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Your stack

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