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CVE-2024-37052VulnerabilityPublished

ZDI-26-845: MLflow Statsmodels _load_model Deserialization of Untrusted Data Remote Code Execution Vulnerability

Source Zero Day Initiative

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Not known to be exploited.

Data as of 29 Oct 2026, 19:17 UTC

Severity
High

Rated High by Zero Day Initiative · CVSS not yet scored by NVD

Exploitation evidence

  1. Disclosed: evidence found.

    Public on cve.org; its publication date is not in this record

  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 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.

References

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