MediumVulnerability

CVE-2022-35987: TensorFlow DenseBincount denial of service via mismatched weights shape

Source: NVD(opens in a new tab)
Identifier: CVE-2022-35987
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

CVE-2022-35987 affects TensorFlow's `DenseBincount` function, which assumes its `weights` tensor either matches the shape of `input` or has length 0. A differently shaped `weights` tensor triggers a `CHECK` failure that can be used to mount a denial of service attack.

Mitigation

Patched in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. The fix will be included in TensorFlow 2.10.0, and the commit will be cherrypicked to TensorFlow 2.9.1, 2.8.1 and 2.7.2. There are no known workarounds.

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. 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-2022-35987

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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