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VulnerabilityPublished

CVE-2026-118627: MLflow · Deserialization of Untrusted Data

Affects MLflowSource CVE Database V5

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Not known to be exploited · CVSS 7.8 High.

Data as of 4 Nov 2026, 00:59 UTC

CVSS 3.0 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.

Thin evidence

One scorer or none
CVSS scores by source
CNA (zdi)CVSS 3.07.8
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 3 Nov 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq 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

ProductAffectedFixed in
MLflowMLflowAffected
  • =3.11.2.dev0
Fixed in–

AI-suggested

Users should exercise caution when handling untrusted SHAP explainer models or related files and avoid interacting with suspicious content. Monitor vendor advisories for updates and patches addressing this vulnerability.

Description

CVE-2026-118627 is a high-severity vulnerability in MLflow version 3.11.2.dev0 involving deserialization of untrusted data in the SHAP explainer model loading functionality. This flaw allows remote attackers to execute arbitrary code if a user interacts with malicious content, such as visiting a crafted page or opening a malicious file. The vulnerability arises from improper validation of user-supplied data during deserialization, enabling code execution in the context of the current user.

Reports on CVE-2026-118627

References

Community reviews

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