LowVulnerability

CVE-2021-29514: TensorFlow heap buffer overflow in RaggedBincount via splits argument

Source: NVD(opens in a new tab)
Identifier: CVE-2021-29514
Published: May 14, 2021
Record updated: October 10, 2026

Affected: tensorflow >= 2.3.0, < 2.3.3, fixed in 2.3.3, released June 15, 2021, 31 days after disclosure
tensorflow >= 2.4.0, < 2.4.2, fixed in 2.4.2, released June 15, 2021, 31 days after disclosure
tensorflow-cpu >= 2.3.0, < 2.3.3, fixed in 2.3.3, released June 15, 2021, 31 days after disclosure
and 3 more
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.2%

Summary

A heap buffer overflow in TensorFlow's `RaggedBincount` op occurs when the `splits` argument does not specify a valid `SparseTensor`. An attacker can set `splits(0)` to 7, which keeps `batch_idx` at 0 and writes to `out(-1, bin)`, before the output tensor's heap buffer.

Mitigation

The fix will be included in TensorFlow 2.5.0. The commit will also be cherry-picked to TensorFlow 2.4.2 and TensorFlow 2.3.3, which are also affected.

Details

Scores and exploitation

CVSS score: 2.5(low)
Patch available: Yes
EPSS: 0.2%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 3, 2026.

Weaknesses and techniques

Weakness (CWE): CWE-787
Attack pattern (CAPEC): CAPEC-100

Affected

Packages: tensorflow@>= 2.3.0, < 2.3.3 (fixed: 2.3.3)
tensorflow@>= 2.4.0, < 2.4.2 (fixed: 2.4.2)
tensorflow-cpu@>= 2.3.0, < 2.3.3 (fixed: 2.3.3)
tensorflow-cpu@>= 2.4.0, < 2.4.2 (fixed: 2.4.2)
tensorflow-gpu@>= 2.3.0, < 2.3.3 (fixed: 2.3.3)
tensorflow-gpu@>= 2.4.0, < 2.4.2 (fixed: 2.4.2)
Vendors: Google

Classification

Attack type: Other
Attack sophistication: Advanced
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-2021-29514

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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