MediumVulnerability

CVE-2022-35990: TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_chann…

Source: NVD(opens in a new tab)
Identifier: CVE-2022-35990
Published: September 16, 2022
Record updated: October 9, 2026

Affected: tensorflow < 2.7.2, fixed in 2.7.2, released May 16, 2022, 124 days before disclosure
tensorflow >= 2.8.0, < 2.8.1, fixed in 2.8.1, released May 16, 2022, 124 days before disclosure
tensorflow >= 2.9.0, < 2.9.1, fixed in 2.9.1, released May 23, 2022, 117 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

TensorFlow's tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient triggers a CHECK failure when its min or max input has a rank other than 1, enabling a denial of service attack. The issue is tracked as CVE-2022-35990 and was patched in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed.

Mitigation

The fix will be included in TensorFlow 2.10.0. The commit will also be cherrypicked to TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2. There are no known workarounds for this issue.

Details

Scores and exploitation

CVSS score: 5.9(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-617

Affected

Packages: tensorflow@< 2.7.2 (fixed: 2.7.2)
tensorflow@>= 2.8.0, < 2.8.1 (fixed: 2.8.1)
tensorflow@>= 2.9.0, < 2.9.1 (fixed: 2.9.1)
tensorflow-cpu@< 2.7.2 (fixed: 2.7.2)
tensorflow-cpu@>= 2.8.0, < 2.8.1 (fixed: 2.8.1)
tensorflow-cpu@>= 2.9.0, < 2.9.1 (fixed: 2.9.1)
tensorflow-gpu@< 2.7.2 (fixed: 2.7.2)
tensorflow-gpu@>= 2.8.0, < 2.8.1 (fixed: 2.8.1)
tensorflow-gpu@>= 2.9.0, < 2.9.1 (fixed: 2.9.1)
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.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2022-35990

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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