HighVulnerability

CVE-2026-118627: MLflow SHAP load_explainer untrusted deserialization enables code execution

Source: NVD(opens in a new tab)
Identifier: CVE-2026-118627
Published: November 3, 2026
Record updated: November 4, 2026

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

Summary

CVE-2026-118627 is a remote code execution flaw in MLflow's SHAP load_explainer, caused by deserialization of untrusted data. An attacker can run arbitrary code in the context of the current user on affected installations, but only if the target visits a malicious page or opens a malicious file. The flaw lies in the loading of SHAP explainer models, which lacks proper validation of user-supplied data. Reported as ZDI-CAN-30301.

Mitigation

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

Details

Scores and exploitation

EPSS: Not scored. FIRST had not published an EPSS score for this CVE when it was last checked on November 4, 2026.
Disclosure date: November 3, 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. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-118627

First tracked: November 4, 2026 at 01:08 AM ET, from NVD/CVE Database

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

Classifier confidence: 90% (self-assessed)

Summary

Mitigation

Related items