HighVulnerability

CVE-2022-41900: TensorFlow heap access via FractionalMax(AVG)Pool illegal ratio

Source: NVD(opens in a new tab)
Identifier: CVE-2022-41900
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: 0.7%

Summary

CVE-2022-41900 affects TensorFlow's FractionalMax(AVG)Pool operation when given an illegal pooling_ratio. An attacker using TensorFlow can exploit this flaw to read heap memory outside the user's control, which can lead to a crash or remote code execution.

Mitigation

Patched in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0, and the commit will also be cherry-picked onto TensorFlow 2.10.1.

Details

Scores and exploitation

CVSS score: 7.1(high)
Patch available: Yes
EPSS: 0.7%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
CWE-787
Attack pattern (CAPEC): CAPEC-100
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: Other
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Confidentiality,
Integrity,
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-2022-41900

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

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

Classifier confidence: 95% (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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