Insertion of Sensitive Information Into Sent Data Affecting mlflow package, versions [,3.11.0rc1)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-MLFLOW-17135851
- published3 Jun 2026
- disclosed3 Jun 2026
- creditsinon2003
Introduced: 3 Jun 2026
CVE-2026-4035 (opens in a new tab)How to fix?
Upgrade mlflow to version 3.11.0rc1 or higher.
Overview
mlflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models.
Affected versions of this package are vulnerable to Insertion of Sensitive Information Into Sent Data via the api_key field in gateway secrets, which accepts environment variable references that are resolved against server-side credentials. An attacker can obtain sensitive environment credentials by configuring secrets to reference environment variables, causing these values to be sent to attacker-controlled endpoints in authentication headers.
Note:
This is only exploitable if the deployment is using basic-auth with low-privileged authenticated users or is a default deployment without basic-auth.