MediumVulnerability

CVE-2022-35996: TensorFlow Conv2D denial of service via empty input division by zero

Source: NVD(opens in a new tab)
Identifier: CVE-2022-35996
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 Conv2D operation produces an all-zeros output when given an empty input, provided the filter and padding sizes are valid. The resulting division-by-zero floating point exceptions can be used to trigger a denial of service attack.

Mitigation

Patched in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. The fix will be included in TensorFlow 2.10.0 and cherry-picked to TensorFlow 2.9.1, 2.8.1 and 2.7.2. 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-369

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-2022-35996

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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