Home/CVE/Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be
CVE

CVE-2024-27134

Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be

Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be exploited by a local attacker to gain elevated permissions by using a ToCToU attack. The issue is only relevant when the spark_udf() MLflow API is called.

HIGH · CVSS 7 EPSS 0.0003
Schedule remediation
  • CVSS base score ≥ 7.0
Sigma rules0 YARA rules0

Affected Products & Versions

1

Affected Packages

1
Language-ecosystem packages (from OSV) tied to this CVE, with the version that fixes it - the dependency-level detail NVD doesn’t carry.
PyPI mlflow HIGH fixed in 2.16.0

Scoring & Timeline

7
HIGH · CVSS v3.1 · reefs@jfrog.com
View on NVD
Attack Vector
Network Adjacent Local Physical
Attack Complexity
Low High
Privileges Required
None Low High
User Interaction
None Required
Scope
Unchanged Changed
Confidentiality
None Low High
Integrity
None Low High
Availability
None Low High
Published to NVD25 Nov 2024 · 02:15 PM
CVSS VectorCVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
SSVC triage · cisa-vulnrichment
Exploitation
none
Automatable
no
Technical impact
total
SSVC asks the questions that actually drive patch urgency: is it being exploited, can attacks be automated, and how total is the impact.
🔗

References & Sources

1
Source URLs (vendor pages, mailing lists, write-ups). Exploit/PoC links are in their own section above to avoid duplication.
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