MediumVulnerability

CVE-2022-41896: TensorFlow crash in ThreadUnsafeUnigramCandidateSampler via oversized

Source: NVD(opens in a new tab)
Identifier: CVE-2022-41896
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-2022-41896 is a flaw in TensorFlow's `ThreadUnsafeUnigramCandidateSampler`. When given a `filterbank_channel_count` input larger than the allowed maximum size, TensorFlow crashes. The source says the affected versions are 2.10.1, 2.9.3 and 2.8.4, as well as the TensorFlow line that the fix lands in.

Mitigation

The issue is patched in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. The fix will be included in TensorFlow 2.11, and the commit will also be cherrypicked onto TensorFlow 2.10.1, 2.9.3 and 2.8.4.

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-20
CWE-1284

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: 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-2022-41896

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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