CVE-2020-15192

MEDIUMNVD 4.34.3—
EchelonGraph scoreMEDIUM confidence

This medium-severity CVE scores 4.3 under NVD CVSS v3. EPSS exploit probability: 0.7%, top 51% 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
4.3
EchelonGraph verdictMonitorLow exploitation likelihood right now — keep watching.
  • Lower severity and no public exploit yet
CISA-KEV: Not listedEPSS: 1%CVSS: 4.3Exploit: NoneExposed: 0

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

In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to dlpack.to_dlpack there is a memory leak following an expected validation failure. The issue occurs because the status argument during validation failures is not properly checked. Since each of the above methods can return an error status, the status value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.

CVSS v3
4.3
EG Score
4.3(medium)
EG Risk
24(Track)
EG Risk 24/100SSVC: 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
Severity43% × 45%
Exploitation1% × 40%
Automatability30% × 15%
Action: Routine — remediate on your standard cadence.
EPSS
48.7%
KEV
Not listed

Published

September 25, 2020

Last Modified

November 21, 2024

References (8)

Affected Packages

(3 across 1 ecosystem)
PyPI(3)
PackageVulnerable rangeFixed inDependents
tensorflow0.12.0rc0 ... 2.1.4 (101 versions)2.3.1—
tensorflow-cpu1.15.0 ... 2.3.0 (8 versions)2.3.1—
tensorflow-gpu0.12.0 ... 2.3.0 (43 versions)2.3.1—

Weakness Classification(1)

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

Data Freshness Timeline

(refreshed 12× 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 01:49 UTCEG score recompute
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  73. 2026-05-23 07:13 UTCEG score recompute

Related CVEs(same CWE)

Frequently asked(5)

What is CVE-2020-15192?
CVE-2020-15192 is a medium vulnerability published on September 25, 2020. In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to dlpack.to_dlpack there is a memory leak following an expected validation failure. The issue occurs because the status argument during validation failures is not properly checked. Since each of the above methods can…
When was CVE-2020-15192 disclosed?
CVE-2020-15192 was first published in the National Vulnerability Database on September 25, 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-2020-15192 actively exploited?
CVE-2020-15192 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 48.7% percentile likelihood of exploitation in the next 30 days — higher percentiles indicate greater predicted risk.
What is the CVSS score of CVE-2020-15192?
CVE-2020-15192 has a CVSS v3 base score of 4.3 (NVD).
How do I remediate CVE-2020-15192?
Patch to the fixed version published by the affected vendor. Where vendor advisories exist for CVE-2020-15192, 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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