CVE-2026-118627: MLflow SHAP load_explainer Deserialization of Untrusted Data Remote Code Execution Vulnerability
Source GCVE Database
Not known to be exploited · CVSS 7.8 High.
Data as of 4 Nov 2026, 01:58 UTC
Thin evidence
One scorer or none| CNA (zdi) | CVSS 3.0 | 7.8 |
|---|
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 3 Nov 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 3 Nov 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| MLflowMLflow | Affected
| Fixed in– |
AI-suggested
Until a fix is released, avoid opening untrusted files or visiting untrusted web pages that could trigger the vulnerability.
Description
A deserialization vulnerability in MLflow's SHAP load_explainer function allows remote attackers to execute arbitrary code if a user opens a malicious file or visits a malicious page. This flaw arises from improper validation of user-supplied data during the loading of SHAP explainer models, enabling code execution in the context of the current user.