MediumVulnerability

CVE-2020-15200: Tensorflow RaggedCountSparseOutput heap buffer overflow via ragged input

Source: NVD(opens in a new tab)
Identifier: CVE-2020-15200
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

TensorFlow versions before 2.3.1 have a flaw in the `RaggedCountSparseOutput` implementation, which does not check that its inputs form a valid ragged tensor, in particular that the `splits` tensor partitions the `values` tensor correctly. Because of this, the code can cause a heap buffer overflow. If the first element of `splits_values` is not 0, accessing a missing hashmap in `per_batch_counts` from user code causes a segmentation fault.

Mitigation

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

Details

Scores and exploitation

CVSS score: 5.9(medium)
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-20
CWE-122
CWE-787
Attack pattern (CAPEC): CAPEC-100

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,
Integrity,
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-2020-15200

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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