MediumVulnerability

CVE-2020-26266: TensorFlow use of uninitialized values via saved model during code execution

Source: NVD(opens in a new tab)
Identifier: CVE-2020-26266
Published: December 10, 2020
Record updated: October 10, 2026

Affected: tensorflow < 1.15.5, fixed in 1.15.5, released January 6, 2021, 26 days after disclosure
tensorflow >= 2.0.0, < 2.0.4, fixed in 2.0.4, released January 6, 2021, 26 days after disclosure
tensorflow >= 2.1.0, < 2.1.3, fixed in 2.1.3, released January 6, 2021, 26 days after disclosure
and 12 more
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.3%

Summary

CVE-2020-26266 affects certain versions of TensorFlow. In some cases, a saved model can trigger use of uninitialized values during code execution. The cause is that tensor buffers are filled with the type's default value, but the quantized floating point types in Eigen are not default initialized.

Mitigation

This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

Details

Scores and exploitation

CVSS score: 4.4(medium)
Patch available: Yes
EPSS: 0.3%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-908
CWE-908

Affected

Packages: tensorflow@< 1.15.5 (fixed: 1.15.5)
tensorflow@>= 2.0.0, < 2.0.4 (fixed: 2.0.4)
tensorflow@>= 2.1.0, < 2.1.3 (fixed: 2.1.3)
tensorflow@>= 2.2.0, < 2.2.2 (fixed: 2.2.2)
tensorflow@>= 2.3.0, < 2.3.2 (fixed: 2.3.2)
tensorflow-cpu@< 1.15.5 (fixed: 1.15.5)
tensorflow-cpu@>= 2.0.0, < 2.0.4 (fixed: 2.0.4)
tensorflow-cpu@>= 2.1.0, < 2.1.3 (fixed: 2.1.3)
tensorflow-cpu@>= 2.2.0, < 2.2.2 (fixed: 2.2.2)
tensorflow-cpu@>= 2.3.0, < 2.3.2 (fixed: 2.3.2)
tensorflow-gpu@< 1.15.5 (fixed: 1.15.5)
tensorflow-gpu@>= 2.0.0, < 2.0.4 (fixed: 2.0.4)
tensorflow-gpu@>= 2.1.0, < 2.1.3 (fixed: 2.1.3)
tensorflow-gpu@>= 2.2.0, < 2.2.2 (fixed: 2.2.2)
tensorflow-gpu@>= 2.3.0, < 2.3.2 (fixed: 2.3.2)
Vendors: Google

Classification

Attack type: Other
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Integrity,
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-2020-26266

First tracked: February 15, 2026 at 08:38 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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