{"id":"CVE-2026-4035","aliases":["GHSA-g35p-px32-whv6","BIT-mlflow-2026-4035"],"title":"MLflow: Environment variable injection in AI Gateway secrets enables server-side credential exfiltration","summary":"MLflow: Environment variable injection in AI Gateway secrets enables server-side credential exfiltration","severity":"critical","cvss":9.1,"cvssVector":"CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:L","vendor":"mlflow","product":"mlflow","ecosystem":"pip","affected":["mlflow < 3.11.0"],"patched":["mlflow 3.11.0"],"published":"2026-06-03","updated":"2026-07-10","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-g35p-px32-whv6","references":[{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-4035"},{"url":"https://github.com/mlflow/mlflow/commit/4a3f2f720cb4f058c9e0c5b883e0acc9ab64a7f3"},{"url":"https://access.redhat.com/security/cve/CVE-2026-4035"},{"url":"https://bugzilla.redhat.com/show_bug.cgi?id=2484318"},{"url":"https://github.com/mlflow/mlflow"},{"url":"https://huntr.com/bounties/f8e591a0-0f19-4910-b82e-16c9956f2233"},{"url":"https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-4035.json"}],"tags":["osv","pip"],"epss":0.00521,"epssPercentile":0.43052,"ingestedAt":"2026-07-11T18:57:04.420Z","slug":"CVE-2026-4035","body":"## Overview\n\nA 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.\n\n## Affected packages\n\n- `mlflow < 3.11.0`\n\n## Remediation\n\nUpgrade to a patched release:\n\n- `mlflow 3.11.0`","depth":"midnight","depthScore":50,"depthScoreParts":{"impact":50.1,"likelihood":0.1,"exploitation":0,"ransomware":0},"changes":[]}