CVE-2021-37652

HIGHNVD 7.87.8—
EchelonGraph scoreMEDIUM confidence

This high-severity CVE scores 7.8 under NVD CVSS v3. EPSS exploit probability: 0.2%, top 93% 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
7.8
EchelonGraph verdictPlan a fixSerious severity, but no confirmed exploitation yet.
  • High severity, but no confirmed exploitation yet
CISA-KEV: Not listedEPSS: 0%CVSS: 7.8Exploit: 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. In affected versions the implementation for tf.raw_ops.BoostedTreesCreateEnsemble can result in a use after free error if an attacker supplies specially crafted arguments. The implementation uses a reference counted resource and decrements the refcount if the initialization fails, as it should. However, when the code was written, the resource was represented as a naked pointer but later refactoring has changed it to be a smart pointer. Thus, when the pointer leaves the scope, a subsequent free-ing of the resource occurs, but this fails to take into account that the refcount has already reached 0, thus the resource has been already freed. During this double-free process, members of the resource object are accessed for cleanup but they are invalid as the entire resource has been freed. We have patched the issue in GitHub commit 5ecec9c6fbdbc6be03295685190a45e7eee726ab. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

CVSS v3
7.8
EG Score
7.8(medium)
EG Risk
40(Track)
EG Risk 40/100SSVC: Track

EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).

How it’s computed
Severity78% × 45%
Exploitation0% × 40%
Automatability30% × 15%
Action: Routine — remediate on your standard cadence.
EPSS
7.1%
KEV
Not listed

Published

August 12, 2021

Last Modified

November 21, 2024

References (4)

Affected Packages

(3 across 1 ecosystem)
PyPI(3)
PackageVulnerable rangeFixed inDependents
tensorflow2.3.0 ... 2.4.2 (7 versions)2.4.3—
tensorflow-cpu2.3.0 ... 2.4.2 (7 versions)2.4.3—
tensorflow-gpu2.3.0 ... 2.4.2 (7 versions)2.4.3—

Weakness Classification(2)

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

Data Freshness Timeline

(refreshed 15× in last 7d / 47× 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. 2026-07-23 02:03 UTCEG score recompute
  2. 2026-07-22 22:49 UTCEG score recompute
  3. 2026-07-22 14:06 UTCEPSS rescore
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  5. 2026-07-21 15:22 UTCEPSS rescore
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  10. 2026-07-19 02:27 UTCEPSS rescore
  11. 2026-07-18 14:29 UTCOSV refresh
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  1. 2026-07-07 13:43 UTCEPSS rescore
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  11. 2026-06-30 19:00 UTCOSV refresh
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  39. 2026-06-13 00:14 UTCOSV refresh
  40. 2026-06-12 23:10 UTCEPSS rescore
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  42. 2026-06-11 13:58 UTCEPSS rescore
  43. 2026-06-10 22:16 UTCEPSS rescore
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  49. 2026-06-05 22:45 UTCEPSS rescore
  50. 2026-06-05 06:09 UTCEPSS rescore
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  70. 2026-05-26 12:06 UTCEG score recompute
  71. 2026-05-26 07:17 UTCEPSS rescore
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Related CVEs(same CWE)

Frequently asked(5)

What is CVE-2021-37652?
CVE-2021-37652 is a high vulnerability published on August 12, 2021. TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.rawops.BoostedTreesCreateEnsemble can result in a use after free error if an attacker supplies specially crafted arguments. The implementation uses a reference counted resource and…
When was CVE-2021-37652 disclosed?
CVE-2021-37652 was first published in the National Vulnerability Database on August 12, 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-2021-37652 actively exploited?
CVE-2021-37652 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 7.1% percentile likelihood of exploitation in the next 30 days — higher percentiles indicate greater predicted risk.
What is the CVSS score of CVE-2021-37652?
CVE-2021-37652 has a CVSS v3 base score of 7.8 (NVD).
How do I remediate CVE-2021-37652?
Patch to the fixed version published by the affected vendor. Where vendor advisories exist for CVE-2021-37652, 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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