CVE-2020-15266

LOWNVD 3.73.7
EchelonGraph scoreLOW confidence

This low-severity CVE scores 3.7 under NVD CVSS v3. EPSS exploit-prediction score not yet available (the EPSS model rescores nightly; freshly-published CVEs typically appear within 48 hours). 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: nvd
3.7
EchelonGraph verdictMonitorLow exploitation likelihood right now — keep watching.
  • Lower severity and no public exploit yet
CISA-KEV: Not listedEPSS: 1%CVSS: 3.7Exploit: NoneExposed: 0

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

In Tensorflow before version 2.4.0, when the boxes argument of tf.image.crop_and_resize has a very large value, the CPU kernel implementation receives it as a C++ nan floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

CVSS v3
3.7
EG Score
3.7(low)
EPSS
56.8%
KEV
Not listed

Published

October 21, 2020

Last Modified

November 21, 2024

References (6)

Affected Packages

(3 across 1 ecosystem)
PyPI(3)
PackageVulnerable rangeFixed inDependents
tensorflow0.12.0rc0 ... 2.3.4 (113 versions)2.4.0—
tensorflow-cpu1.15.0 ... 2.3.4 (15 versions)2.4.0—
tensorflow-gpu0.12.0 ... 2.3.4 (50 versions)2.4.0—

Weakness Classification(1)

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

Data Freshness Timeline

(refreshed 10× in last 7d / 44× 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 14:05 UTCEPSS rescore
  2. 2026-07-21 15:22 UTCEPSS rescore
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  1. 2026-07-06 16:25 UTCEPSS rescore
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  17. 2026-06-24 09:50 UTCOSV refresh
  18. 2026-06-23 21:31 UTCEPSS rescore
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  20. 2026-06-22 14:23 UTCEPSS rescore
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  42. 2026-06-07 15:23 UTCEPSS rescore
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  44. 2026-06-07 14:30 UTCOSV refresh
  45. 2026-06-06 13:45 UTCEPSS rescore
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  67. 2026-05-26 07:17 UTCEPSS rescore
  68. 2026-05-26 07:17 UTCEPSS rescore
  69. 2026-05-23 06:13 UTCEG score recompute

Related CVEs(same CWE)

Frequently asked(5)

What is CVE-2020-15266?
CVE-2020-15266 is a low vulnerability published on October 21, 2020. In Tensorflow before version 2.4.0, when the boxes argument of tf.image.cropandresize has a very large value, the CPU kernel implementation receives it as a C++ nan floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is…
When was CVE-2020-15266 disclosed?
CVE-2020-15266 was first published in the National Vulnerability Database on October 21, 2020, 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-2020-15266 actively exploited?
CVE-2020-15266 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 56.8% percentile likelihood of exploitation in the next 30 days — higher percentiles indicate greater predicted risk.
What is the CVSS score of CVE-2020-15266?
CVE-2020-15266 has a CVSS v3 base score of 3.7 (NVD). The EG score is currently aggregating — additional source signals are being incorporated as they become available..
How do I remediate CVE-2020-15266?
Patch to the fixed version published by the affected vendor. Where vendor advisories exist for CVE-2020-15266, 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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