ZDI-26-845: MLflow Statsmodels _load_model Deserialization of Untrusted Data Remote Code Execution Vulnerability
Source Zero Day Initiative
Not known to be exploited.
Data as of 29 Oct 2026, 19:17 UTC
Rated High by Zero Day Initiative · CVSS not yet scored by NVD
Exploitation evidence
Disclosed: evidence found.
Public on cve.org; its publication date is not in this record
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 29 Oct 2026.
What to do
AI-suggested
Until a fix is available, users should avoid opening untrusted files or visiting untrusted web pages that could trigger the vulnerability.
Description
A remote code execution vulnerability exists in MLflow's Statsmodels _load_model function. Exploitation requires user interaction, such as visiting a malicious webpage or opening a malicious file. The vulnerability is assigned CVE-2024-37052 and has a high severity rating by ZDI with a CVSS score of 7.8.