HighVulnerability

CVE-2026-72649: Deserialization of Untrusted Data (CWE-502) in the Elasticsearch machine learning component can lead to remote code…

Source: NVD(opens in a new tab)
Identifier: CVE-2026-72649
Published: September 1, 2026
Record updated: October 9, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.9%

Summary

CVE-2026-72649 is a Deserialization of Untrusted Data flaw (CWE-502) in the Elasticsearch machine learning component. A specially crafted trained model artifact can lead to remote code execution via Object Injection (CAPEC-586), running attacker-controlled logic with a broader system-call surface than intended. Exploitation requires an authenticated user with sufficient privileges to create and deploy trained models.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

CVSS score: 8.8(high)
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack vector: network
Attack complexity: low
Privileges required: low
User interaction: none
EPSS: 0.9%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 4, 2026.
Disclosure date: September 1, 2026

Weaknesses and techniques

Weakness (CWE): CWE-502
Attack pattern (CAPEC): CAPEC-586
AI threat technique (MITRE ATLAS): AML.T0010

Classification

Attack type: Supply chain
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Confidentiality,
Integrity,
Availability
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-72649

First tracked: September 1, 2026 at 08:08 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 90% (self-assessed)

Summary

Mitigation

Related items