CVE-2025-15381: lfprojects mlflow
Vulnerability summary
CVE-2025-15381 is a high (CVSS 8.1) vulnerability in lfprojects mlflow. EPSS estimates a 0.33% chance of exploitation in the next 30 days, higher than 24.8% of scored vulnerabilities. 1 public exploit is recorded.
Timeline
- 27-03-2026PublishedVulnerability first disclosed.
- 15-07-2026Last modifiedVulnerability information updated.
Description
In the latest version of mlflow/mlflow, when the `basic-auth` app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with `NO_PERMISSIONS` on the experiment, to read trace information and create assessments for traces they should not have access to. This vulnerability impacts confidentiality by exposing trace metadata and integrity by allowing unauthorized creation of assessments. Deployments using `mlflow server --app-name=basic-auth` are affected.
CVSS metrics
5 scores · 3 sources · 2 versions- NVDNIST7.1HighCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:H/A:NDiffers
- OSV · PypiEcosystem advisory · calculated8.1HighCVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
- NVDNIST8.1HighCVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
EPSS trend
Probability
0.33%
Chance of exploitation in the next 30 days
Percentile
25%
Versus all other CVEs
30-day change
0.00 pp
From 0.33% on 20-09-2026
Known exploited
Compare KEV catalogsNot in any of the 3 tracked catalogs.
Public exploits
1 foundExploit Reference (huntr.com)
Maturity: unknown
Weaknesses
CWE · root cause- CWE-200Exposure of Sensitive Information to an Unauthorized ActorThe product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.
- CWE-425Direct Request ('Forced Browsing')The web application does not adequately enforce appropriate authorization on all restricted URLs, scripts, or files.
Affected systems
Lfprojects1 product
- mlflowna
Mlflow1 product
- mlflow/mlflow≥ unspecified, ≤ latest
PyPI1 product
- mlflow≤ 3.8.1
3 vendors · 3 products
References
9 links- github.com/mlflow/mlflowPACKAGE
- pypi.org/project/mlflowPACKAGE