MediumVulnerability

CVE-2022-23557: Tensorflow division by zero in BiasAndClamp via crafted TFLite model

Source: NVD(opens in a new tab)
Identifier: CVE-2022-23557
Published: February 4, 2022
Record updated: October 9, 2026

Affected: tensorflow < 2.5.3, fixed in 2.5.3, released February 2, 2022, 3 days before disclosure
tensorflow >= 2.6.0, < 2.6.3, fixed in 2.6.3, released February 2, 2022, 3 days before disclosure
tensorflow = 2.7.0, fixed in 2.7.1, released February 2, 2022, 3 days before disclosure
and 6 more
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.8%

Summary

CVE-2022-23557 affects TensorFlow, an open source machine learning framework. An attacker can craft a TFLite model that triggers a division by zero in the `BiasAndClamp` implementation, because the code never checks that `bias_size` is non-zero.

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 are also affected and still in supported range.

Details

Scores and exploitation

CVSS score: 6.5(medium)
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-369

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: Denial of service
Attack sophistication: Moderate
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-2022-23557

First tracked: February 15, 2026 at 08:40 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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