MediumVulnerability

CVE-2022-41897: TensorFlow crash in FractionMaxPoolGrad with oversized pooling sequence inputs

Source: NVD(opens in a new tab)
Identifier: CVE-2022-41897
Published: November 18, 2022
Record updated: October 9, 2026

Affected: tensorflow < 2.8.4, fixed in 2.8.4, released November 16, 2022, 3 days before disclosure
tensorflow >= 2.9.0, < 2.9.3, fixed in 2.9.3, released November 16, 2022, 3 days before disclosure
tensorflow >= 2.10.0, < 2.10.1, fixed in 2.10.1, released November 16, 2022, 3 days before disclosure
and 6 more
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.5%

Summary

CVE-2022-41897 affects TensorFlow, an open source machine learning platform. If `FractionMaxPoolGrad` receives outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow crashes. The weakness is classified as CWE-125, Out-of-bounds Read.

Mitigation

The issue is patched in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11, and the commit will be cherrypicked to TensorFlow 2.10.1, 2.9.3, and 2.8.4, which are also affected and still in supported range.

Details

Scores and exploitation

CVSS score: 4.8(medium)
Patch available: Yes
EPSS: 0.5%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 4, 2026.

Weaknesses and techniques

Weakness (CWE): CWE-125
Attack pattern (CAPEC): CAPEC-540

Affected

Packages: tensorflow@< 2.8.4 (fixed: 2.8.4)
tensorflow@>= 2.9.0, < 2.9.3 (fixed: 2.9.3)
tensorflow@>= 2.10.0, < 2.10.1 (fixed: 2.10.1)
tensorflow-cpu@< 2.8.4 (fixed: 2.8.4)
tensorflow-gpu@< 2.8.4 (fixed: 2.8.4)
tensorflow-cpu@>= 2.9.0, < 2.9.3 (fixed: 2.9.3)
tensorflow-gpu@>= 2.9.0, < 2.9.3 (fixed: 2.9.3)
tensorflow-cpu@>= 2.10.0, < 2.10.1 (fixed: 2.10.1)
tensorflow-gpu@>= 2.10.0, < 2.10.1 (fixed: 2.10.1)
Vendors: Google

Classification

Attack type: Denial of service
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Availability
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2022-41897

First tracked: February 15, 2026 at 08:41 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 90% (self-assessed)

Affected packages in the Exposure Registry

Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.

tensorflowPyPINo LLM dependency detected · 26 tracked dependents
tensorflow-gpuPyPINo LLM dependency detected · 2 tracked dependents

Summary

Mitigation

Affected packages in the Exposure Registry

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