LowVulnerability

CVE-2020-15266: TensorFlow crop_and_resize crash from very large boxes argument

Source: NVD(opens in a new tab)
Identifier: CVE-2020-15266
Published: October 21, 2020
Record updated: October 10, 2026

Affected: tensorflow < 2.4.0
tensorflow-cpu < 2.4.0
tensorflow-gpu < 2.4.0
Fixed in: 2.4.0
tensorflow 2.4.0 released December 14, 2020, 53 days after disclosure
tensorflow-cpu 2.4.0 released December 14, 2020, 53 days after disclosure
tensorflow-gpu 2.4.0 released December 14, 2020, 53 days after disclosure
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.9%

Summary

CVE-2020-15266 affects TensorFlow before version 2.4.0. When the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel receives it as a C++ `nan` floating point value. Operating on this value is undefined behavior that later produces a segmentation fault.

Mitigation

The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808, and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit also have the issue resolved.

Details

Scores and exploitation

CVSS score: 3.7(low)
Patch available: Yes
EPSS: 0.9%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-119
CWE-119
Attack pattern (CAPEC): CAPEC-100

Affected

Packages: tensorflow@< 2.4.0 (fixed: 2.4.0)
tensorflow-cpu@< 2.4.0 (fixed: 2.4.0)
tensorflow-gpu@< 2.4.0 (fixed: 2.4.0)
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-2020-15266

First tracked: February 15, 2026 at 08:38 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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