Vulnerability · Published Nov 25, 2024 · Assigned by JFROG
CVE-2024-27134Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf
High 7.0
In plain English
A high-severity incorrect default permissions in mlflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.1% (higher than 2% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Severity (CVSS 3.1)7.0High
Exploit odds (30 days)0.1%top 98.1% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known
Official description
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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | mlflow | 2.16.0 | GHSA-qpgc-w4mg-6v92 |
| PyPI | mlflow | 2.16.0 | PYSEC-2024-224 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| mlflow | 0 – before 2.16.0 |
Weakness: CWE-367, CWE-276 · Vector: CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H