CVE-2026-72642 Details
The native inference process that Elasticsearch uses to evaluate uploaded machine learning models accepts a model operation that computes a memory address from an offset supplied inside the model, without validating that the offset stays within the bounds of the underlying storage. A user with the privileges required to upload and deploy a trained model can craft a model that reads and writes memory outside the intended allocation. The result is heap corruption that crashes the inference process, and, with sufficient control over the heap layout, could allow arbitrary code execution in the context of that process.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2026-72642
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.34 Probability of exploitation activity being observed over the next 30 days (27th percentile)
CVSS score for CVE-2026-72642
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
8.8 High
Products affected by CVE-2026-72642
Elasticsearch 8.19.3
Elasticsearch 8.19.3
Elasticsearch 8.19.4
Elasticsearch 8.19.4
Elasticsearch 8.19.5
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
Low
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CVE-2026-72642 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
CN 22 22.68%
BR 15 15.46%
US 13 13.40%
DE 10 10.31%
FR 9 9.28%
IN 3 3.09%
DK 2 2.06%
VN 2 2.06%
NL 2 2.06%
TZ 1 1.03%

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CVE-2026-72642 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 55 85.94%
Telecommunications 6 9.38%
Government/Politics 1 1.56%
Retail 1 1.56%
Education 1 1.56%

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