MediumVulnerability

CVE-2022-41883: TensorFlow crash in ops with specified input sizes when input count differs

Source: NVD(opens in a new tab)
Identifier: CVE-2022-41883
Published: November 18, 2022
Record updated: October 9, 2026

Affected: tensorflow = 2.10.0
tensorflow-cpu = 2.10.0
tensorflow-gpu = 2.10.0
Fixed in: 2.10.1
tensorflow 2.10.1 released November 16, 2022, 3 days before disclosure
tensorflow-cpu 2.10.1 released November 16, 2022, 3 days before disclosure
tensorflow-gpu 2.10.1 released November 16, 2022, 3 days before disclosure
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.4%

Summary

CVE-2022-41883 affects TensorFlow, an open source machine learning platform. When ops with specified input sizes receive a differing number of inputs, the executor crashes. The issue is patched in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629.

Mitigation

Fixed in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629, which will be included in TensorFlow 2.11. The commit will also be cherry-picked to TensorFlow 2.10.1, 2.9.3, and 2.8.4.

Details

Scores and exploitation

CVSS score: 6.8(medium)
Patch available: Yes
EPSS: 0.4%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@= 2.10.0 (fixed: 2.10.1)
tensorflow-cpu@= 2.10.0 (fixed: 2.10.1)
tensorflow-gpu@= 2.10.0 (fixed: 2.10.1)
Vendors: Google

Classification

Attack type: Denial of service
Attack sophistication: Trivial
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-2022-41883

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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