CVE-2026-72649 Details
Deserialization of Untrusted Data (CWE-502) in the Elasticsearch machine learning component can lead to remote code execution via Object Injection (CAPEC-586). A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface than intended. Exploitation requires an authenticated user with sufficient privileges to create and deploy trained models.
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Exploit prediction scoring system (EPSS) score for CVE-2026-72649
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%).
0.58 Probability of exploitation activity being observed over the next 30 days (46th percentile)
CVSS score for CVE-2026-72649
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

CVE-2026-72649 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
CN 134 23.10%
US 97 16.72%
DE 53 9.14%
MX 48 8.28%
FR 31 5.34%
IN 24 4.14%
RU 23 3.97%
BR 20 3.45%
SG 18 3.10%
VN 14 2.41%

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CVE-2026-72649 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 328 87.70%
Telecommunications 31 8.29%
Retail 10 2.67%
Government/Politics 2 0.53%
Education 2 0.53%
Finance 1 0.27%

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