HighVulnerability

CVE-2022-21730: TensorFlow FractionalAvgPoolGrad out-of-bounds heap read

Source: NVD(opens in a new tab)
Identifier: CVE-2022-21730
Published: February 3, 2022
Record updated: October 9, 2026

Affected: tensorflow < 2.5.3, fixed in 2.5.3, released February 2, 2022, 1 day before disclosure
tensorflow >= 2.6.0, < 2.6.3, fixed in 2.6.3, released February 2, 2022, 1 day before disclosure
tensorflow = 2.7.0, fixed in 2.7.1, released February 2, 2022, 1 day before disclosure
and 6 more
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.8%

Summary

CVE-2022-21730 affects TensorFlow's implementation of `FractionalAvgPoolGrad`. The code does not check whether input tensors are invalid, which lets an attacker read outside the bounds of the heap.

Mitigation

The fix will be included in TensorFlow 2.8.0. The commit will also be cherry-picked to TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, which the source identifies as affected and still in supported range.

Details

Scores and exploitation

CVSS score: 8.1(high)
Patch available: Yes
EPSS: 0.8%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-125
Attack pattern (CAPEC): CAPEC-540

Affected

Packages: tensorflow@< 2.5.3 (fixed: 2.5.3)
tensorflow@>= 2.6.0, < 2.6.3 (fixed: 2.6.3)
tensorflow@= 2.7.0 (fixed: 2.7.1)
tensorflow-cpu@< 2.5.3 (fixed: 2.5.3)
tensorflow-cpu@>= 2.6.0, < 2.6.3 (fixed: 2.6.3)
tensorflow-cpu@= 2.7.0 (fixed: 2.7.1)
tensorflow-gpu@< 2.5.3 (fixed: 2.5.3)
tensorflow-gpu@>= 2.6.0, < 2.6.3 (fixed: 2.6.3)
tensorflow-gpu@= 2.7.0 (fixed: 2.7.1)
Vendors: Google

Classification

Attack type: Other
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Confidentiality
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-2022-21730

First tracked: February 15, 2026 at 08:40 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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