LowVulnerability

CVE-2019-16778: TensorFlow heap buffer overflow in UnsortedSegmentSum with int32 Index

Source: NVD(opens in a new tab)
Identifier: CVE-2019-16778
Published: December 16, 2019
Record updated: October 10, 2026

Affected: tensorflow < 1.15.0
tensorflow-cpu < 1.15.0
tensorflow-gpu < 1.15.0
Fixed in: 1.15.0
tensorflow 1.15.0 released October 16, 2019, 62 days before disclosure
tensorflow-cpu 1.15.0 released October 16, 2019, 62 days before disclosure
tensorflow-gpu 1.15.0 released October 16, 2019, 62 days before disclosure
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.8%

Summary

CVE-2019-16778 affects TensorFlow before 1.15. When the Index template argument is int32, a heap buffer overflow in UnsortedSegmentSum can occur because data_size and num_segments are truncated from int64 to int32, producing negative values that access out-of-bounds heap memory. The source says exploitation is unlikely and that the issue was detected and fixed internally in TensorFlow 1.15 and 2.0.

Mitigation

Fixed in TensorFlow 1.15 and 2.0, per the source. The linked patch commit is db4f9717c41bccc3ce10099ab61996b246099892.

Details

Scores and exploitation

CVSS score: 2.6(low)
Patch available: Yes
EPSS: 0.8%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-122
CWE-681
Attack pattern (CAPEC): CAPEC-100

Affected

Packages: tensorflow@< 1.15.0 (fixed: 1.15.0)
tensorflow-cpu@< 1.15.0 (fixed: 1.15.0)
tensorflow-gpu@< 1.15.0 (fixed: 1.15.0)
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-2019-16778

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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