HighVulnerability

CVE-2020-15203: TensorFlow format string vulnerability via tf.strings.as_string fill argument

Source: NVD(opens in a new tab)
Identifier: CVE-2020-15203
Published: September 25, 2020
Record updated: October 10, 2026

Affected: tensorflow < 1.15.4, fixed in 1.15.4, released September 24, 2020, 1 day before disclosure
tensorflow >= 2.0.0, < 2.0.3, fixed in 2.0.3, released September 24, 2020, 1 day before disclosure
tensorflow >= 2.1.0, < 2.1.2, fixed in 2.1.2, released September 24, 2020, 1 day before disclosure
and 12 more
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 1.0%

Summary

CVE-2020-15203 affects TensorFlow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1. By controlling the `fill` argument of tf.strings.as_string, an attacker can trigger a format string vulnerability, because the internal format used in a `printf` call is constructed unsafely, which may result in a segmentation fault.

Mitigation

The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83 and released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Details

Scores and exploitation

CVSS score: 7.5(high)
Patch available: Yes
EPSS: 1.0%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-20
CWE-134

Affected

Packages: tensorflow@< 1.15.4 (fixed: 1.15.4)
tensorflow@>= 2.0.0, < 2.0.3 (fixed: 2.0.3)
tensorflow@>= 2.1.0, < 2.1.2 (fixed: 2.1.2)
tensorflow@= 2.2.0 (fixed: 2.2.1)
tensorflow@= 2.3.0 (fixed: 2.3.1)
tensorflow-cpu@< 1.15.4 (fixed: 1.15.4)
tensorflow-cpu@>= 2.0.0, < 2.0.3 (fixed: 2.0.3)
tensorflow-cpu@>= 2.1.0, < 2.1.2 (fixed: 2.1.2)
tensorflow-cpu@= 2.2.0 (fixed: 2.2.1)
tensorflow-cpu@= 2.3.0 (fixed: 2.3.1)
tensorflow-gpu@< 1.15.4 (fixed: 1.15.4)
tensorflow-gpu@>= 2.0.0, < 2.0.3 (fixed: 2.0.3)
tensorflow-gpu@>= 2.1.0, < 2.1.2 (fixed: 2.1.2)
tensorflow-gpu@= 2.2.0 (fixed: 2.2.1)
tensorflow-gpu@= 2.3.0 (fixed: 2.3.1)
Vendors: Google

Classification

Attack type: Other
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Availability,
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-2020-15203

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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