CVE-2024-27134: lfprojects mlflow Incorrect Default Permissions
CVSS: 7.0v3.1HighAnalyzed
AliasesGHSA-qpgc-w4mg-6v92BIT-mlflow-2024-27134PYSEC-2024-224
Published 25-11-2024Last modified 25-11-2024
Vulnerability summary
CVE-2024-27134 is a high (CVSS 7.0) Incorrect Default Permissions vulnerability in lfprojects mlflow. EPSS estimates a 0.12% chance of exploitation in the next 30 days, higher than 1.7% of scored vulnerabilities.
CVSS score
7.0/10
010
High · v3.1 (CVE.org)EPSS score
0.12%
0%100%
Low · 0.00 pp in 30 daysKEVNot listedIn no KEV catalog
RansomwareNone recordedNo known use recorded
Public exploits0No public exploits recorded
Timeline
- 25-11-2024PublishedVulnerability first disclosed.
- 25-11-2024Last modifiedVulnerability information updated.
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.
CVSS metrics
3 scores · 3 sources · 1 versionHigh 7.0Preferred score · CVE.org (CNA)
CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:HSourcesAll 3 agree
- OSV · PypiEcosystem advisory · calculated7.0HighCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
- NVDNIST7.0HighCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS trend
Probability
0.12%
Chance of exploitation in the next 30 days
Percentile
2%
Versus all other CVEs
30-day change
0.00 pp
From 0.12% on 20-09-2026
20-09-202620-10-2026
EPSS score0.12%
Known exploited
Compare KEV catalogsNot in any of the 3 tracked catalogs.
Public exploits
0 foundNo public exploits indexed.
Weaknesses
CWE · root cause- CWE-276Incorrect Default PermissionsDuring installation, installed file permissions are set to allow anyone to modify those files.
- CWE-367Time-of-check Time-of-use (TOCTOU) Race ConditionThe product checks the state of a resource before using that resource, but the resource's state can change between the check and the use in a way that invalidates the results of the check.
Affected systems
Lfprojects1 product
- mlflow< 2.16.0
PyPI1 product
- mlflow< 2.16.0
2 vendors · 2 products
References
5 links
- github.com/mlflow/mlflowPACKAGE