GHSA-g6pg-52vf-843h — high GitHub Advisory (CVE-2025-15381) in pip/mlflow

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.

Basic information

Type: reviewed
Severity: high
Advisory on GitHub: Open advisory ↗
Repository advisory: —
Source code: Browse source ↗
Published (advisory): 2026-03-27 18:31:27 UTC
Updated: 2026-03-31 23:13:30 UTC
GitHub reviewed: 2026-03-31 23:13:28 UTC
NVD published: 2026-03-27

Score	Percentile
0.01%	1.37%

CVSS Scores

Base score	Version	Severity	Vector
8.1	3.0	—	`CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N` Click to expand Attack vector (AV:N) Could be attacked over the internet or any normal routed network—not just someone sitting at the machine. Attack complexity (AC:L) Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup. Privileges required (PR:L) A normal user session is enough; they don’t have to be admin. User interaction (UI:N) Nobody has to click “OK” or open a trap file; it can work without a victim helping. Scope (S:U) Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems. Confidentiality (C:H) Serious risk that confidential data gets exposed in a big way. Integrity (I:H) They could widely tamper with or forge data—trust in the data is badly hurt. Availability (A:N) Service keeps running; no real outage angle.

Identifiers

Type	Value
GHSA	GHSA-g6pg-52vf-843h ↗
CVE	CVE-2025-15381 ↗

CWEs

CWE id	Name
CWE-200	Exposure of Sensitive Information to an Unauthorized Actor

Affected packages (1)

Vulnerable version ranges and first patched releases as published by GitHub.

Ecosystem	Package	Vulnerable range	First patched	Vulnerable functions
pip	mlflow	<= 3.8.1	—	—

MLFlow allows Tracing + Assessments Access