MediumVulnerability

CVE-2020-26271: TensorFlow out-of-bounds read in MakeEdge when loading a saved model

Source: NVD(opens in a new tab)
Identifier: CVE-2020-26271
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: 0.2%

Summary

In affected versions of TensorFlow, loading a saved model can access uninitialized memory while building the computation graph. The MakeEdge function does not check that output_index and input_index fall inside the arrays they index, so out-of-bounds heap reads can occur, and with a far-away index they can leak addresses from the library.

Mitigation

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: 0.2%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-125
CWE-125
CWE-908
Attack pattern (CAPEC): CAPEC-540

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: Advanced
AI component targeted: Framework
Impact: Confidentiality,
Integrity
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-2020-26271

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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