CVE-2021-29532

LOWNVD 2.52.5—
EchelonGraph scoreMEDIUM confidence

This low-severity CVE scores 2.5 under NVD CVSS v3. EPSS exploit probability: 0.2%, top 90% 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
Trending — 3 sources updated this week
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. An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to tf.raw_ops.RaggedCross. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efea03b38fb8d3b81762237dc85e579cc5fc6e87/tensorflow/core/kernels/ragged_cross_op.cc#L456-L487) lacks validation for the user supplied arguments. Each of the above branches call a helper function after accessing array elements via a *_list[next_*] pattern, followed by incrementing the next_* index. However, as there is no validation that the next_* values are in the valid range for the corresponding *_list arrays, this results in heap OOB reads. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

CVSS v3
2.5
EG Score
2.5(medium)
EG Risk
—
EPSS
9.9%
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
tensorflow0.12.0 ... 2.4.2 (102 versions)2.4.3—
tensorflow-cpu1.15.0 ... 2.4.2 (17 versions)2.4.3—
tensorflow-gpu0.12.0 ... 2.4.2 (52 versions)2.4.3—

Weakness Classification(1)

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

Data Freshness Timeline

(refreshed 13× in last 7d / 50× 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. 2026-07-22 22:46 UTCEG score recompute
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Related CVEs(same CWE)

Frequently asked(5)

What is CVE-2021-29532?
CVE-2021-29532 is a low vulnerability published on May 14, 2021. TensorFlow is an end-to-end open source platform for machine learning. An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to tf.rawops.RaggedCross. This is because the…
When was CVE-2021-29532 disclosed?
CVE-2021-29532 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-2021-29532 actively exploited?
CVE-2021-29532 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 9.9% percentile likelihood of exploitation in the next 30 days — higher percentiles indicate greater predicted risk.
What is the CVSS score of CVE-2021-29532?
CVE-2021-29532 has a CVSS v3 base score of 2.5 (NVD).
How do I remediate CVE-2021-29532?
Patch to the fixed version published by the affected vendor. Where vendor advisories exist for CVE-2021-29532, 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.

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