HighVulnerability

CVE-2020-15196: In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate…

Source: NVD(opens in a new tab)
Identifier: CVE-2020-15196
Published: September 25, 2020
Record updated: October 10, 2026

Affected: tensorflow = 2.3.0
tensorflow-cpu = 2.3.0
tensorflow-gpu = 2.3.0
Fixed in: 2.3.1
tensorflow 2.3.1 released September 24, 2020, 1 day before disclosure
tensorflow-cpu 2.3.1 released September 24, 2020, 1 day before disclosure
tensorflow-gpu 2.3.1 released September 24, 2020, 1 day before disclosure
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.9%

Summary

CVE-2020-15196 affects TensorFlow 2.3.0. The `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations do not check that the `weights` tensor matches the shape of the data, unlike `DenseCountSparseOutput`. An attacker who passes fewer weights than values can trigger a read outside the bounds of the heap buffer allocated for the weights.

Mitigation

The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and released in TensorFlow version 2.3.1.

Details

Scores and exploitation

CVSS score: 8.5(high)
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-122
CWE-125
Attack pattern (CAPEC): CAPEC-100
CAPEC-540

Affected

Packages: tensorflow@= 2.3.0 (fixed: 2.3.1)
tensorflow-cpu@= 2.3.0 (fixed: 2.3.1)
tensorflow-gpu@= 2.3.0 (fixed: 2.3.1)
Vendors: Google

Classification

Attack type: Other
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Confidentiality,
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.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2020-15196

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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