CVE-2021-29512

LOWNVD 2.52.5—
EchelonGraph scoreMEDIUM confidence

This low-severity CVE scores 2.5 under NVD CVSS v3. EPSS exploit probability: 0.0%, top 98% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).

Triggered by: NVD CVSS baseline
Sources: epss, nvd
2.5
EchelonGraph verdictMonitorLow exploitation likelihood right now — keep watching.
  • Lower severity and no public exploit yet
CISA-KEV: Not listedEPSS: 0%CVSS: 2.5Exploit: NoneExposed: 0

No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.

TensorFlow is an end-to-end open source platform for machine learning. If the splits argument of RaggedBincount does not specify a valid SparseTensor(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the splits tensor buffer in the implementation of the RaggedBincount op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the for loop, batch_idx is set to 0. The user controls the splits array, making it contain only one element, 0. Thus, the code in the while loop would increment batch_idx and then try to read splits(1), which is outside of bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.

CVSS v3
2.5
EG Score
2.5(medium)
EPSS
11.3%
KEV
Not listed

Published

May 14, 2021

Last Modified

November 21, 2024

References (4)

Affected Packages

(3 across 1 ecosystem)
PyPI(3)
PackageVulnerable rangeFixed inDependents
tensorflow2.3.0, 2.3.1, 2.3.2, 2.4.0, 2.4.12.4.2—
tensorflow-cpu2.3.0, 2.3.1, 2.3.2, 2.4.0, 2.4.12.4.2—
tensorflow-gpu2.3.0, 2.3.1, 2.3.2, 2.4.0, 2.4.12.4.2—

Weakness Classification(2)

MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.

Data Freshness Timeline

(refreshed 11× in last 7d / 49× in last 30d)

Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.

  1. 2026-07-16 17:00 UTCEPSS rescore
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Related CVEs(same CWE)

Frequently asked(5)

What is CVE-2021-29512?
CVE-2021-29512 is a low vulnerability published on May 14, 2021. TensorFlow is an end-to-end open source platform for machine learning. If the splits argument of RaggedBincount does not specify a valid SparseTensor(https://www.tensorflow.org/apidocs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from…
When was CVE-2021-29512 disclosed?
CVE-2021-29512 was first published in the National Vulnerability Database on May 14, 2021, with the most recent update on November 21, 2024. EchelonGraph re-ingests CVE updates from NVD on a 2-hour cycle, so this page reflects the latest published state.
Is CVE-2021-29512 actively exploited?
CVE-2021-29512 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 11.3% percentile likelihood of exploitation in the next 30 days — higher percentiles indicate greater predicted risk.
What is the CVSS score of CVE-2021-29512?
CVE-2021-29512 has a CVSS v3 base score of 2.5 (NVD).
How do I remediate CVE-2021-29512?
Patch to the fixed version published by the affected vendor. Where vendor advisories exist for CVE-2021-29512, EchelonGraph cross-links them in the Vendor Advisories panel below — those typically contain the canonical remediation steps, fixed version numbers, and any vendor-specific mitigations.

Dependency Blast Radius

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