CVE-2026-4035

Received

Published: 03 Jun 2026, 07:18

Last modified:03 Jun 2026, 13:10

Vulnerability Summary

Overall Risk (default)

high

70/100

CVSS Score

9.1 CRITICAL

v3.0 (cve.org)

EPSS Score

0.28% LOW

0% probability

KEV

Not listed

Ransomware

No reports

Public exploits

None found

Dark Web

Not detected

Timeline

03 Jun 2026, 07:18

Published

Vulnerability first disclosed

03 Jun 2026, 13:10

Last Modified

Vulnerability information updated

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.

CVSS Metrics

v3.0•CRITICAL•Score: 9.1CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:L

EPSS Trends

Current EPSS score: 0.28%• Percentile: 51%

Techniques & Countermeasures

CWE-201•Insertion of Sensitive Information Into Sent Data
The code transmits data to another actor, but a portion of the data includes sensitive information that should not be accessible to that actor.

Affected Systems

mlflow•mlflow/mlflow
≥ unspecified, < 3.11.0