9.1
/ 10
CRITICAL
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:L
Description
A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.
AI Analysis
Environment variable resolution vulnerability allowing exfiltration of sensitive server-side environment credentials
Basic Information
ID
CVE-2026-4035
Source
@huntr_ai
Published
Jun 3, 2026 at 07:18
Affected Product
Vendor
mlflow
Product
mlflow/mlflow
Version
unspecified
Affected Versions
mlflow mlflow/mlflow unspecified
CWE Classification
AI Assessment
AI Score
9.1 / 10
AI Severity
CRITICAL
Vendor
MLflow
Product
mlflow/mlflow
Version
prior to 3.11.0