{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2026-4035", "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "state": "PUBLISHED", "assignerShortName": "@huntr_ai", "dateReserved": "2026-03-12T02:17:42.523Z", "datePublished": "2026-06-03T07:18:08.512Z", "dateUpdated": "2026-06-03T07:18:08.512Z"}, "containers": {"cna": {"title": "Environment Variable Resolution Vulnerability in mlflow/mlflow", "providerMetadata": {"orgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "shortName": "@huntr_ai", "dateUpdated": "2026-06-03T07:18:08.512Z"}, "descriptions": [{"lang": "en", "value": "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."}], "affected": [{"vendor": "mlflow", "product": "mlflow/mlflow", "versions": [{"version": "unspecified", "lessThan": "3.11.0", "status": "affected", "versionType": "custom"}]}], "references": [{"url": "https://huntr.com/bounties/f8e591a0-0f19-4910-b82e-16c9956f2233"}, {"url": "https://github.com/mlflow/mlflow/commit/4a3f2f720cb4f058c9e0c5b883e0acc9ab64a7f3"}], "metrics": [{"cvssV3_0": {"version": "3.0", "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "LOW", "confidentialityImpact": "HIGH", "integrityImpact": "LOW", "privilegesRequired": "LOW", "scope": "CHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:L", "baseScore": 9.1, "baseSeverity": "CRITICAL"}}], "problemTypes": [{"descriptions": [{"type": "CWE", "lang": "en", "description": "CWE-201 Insertion of Sensitive Information Into Sent Data", "cweId": "CWE-201"}]}], "source": {"advisory": "f8e591a0-0f19-4910-b82e-16c9956f2233", "discovery": "EXTERNAL"}}}}

{}

{"cveTags": [], "descriptions": [{"lang": "en", "value": "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."}], "id": "CVE-2026-4035", "lastModified": "2026-06-03T09:16:13.083", "metrics": {"cvssMetricV30": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "LOW", "baseScore": 9.1, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "LOW", "privilegesRequired": "LOW", "scope": "CHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:L", "version": "3.0"}, "exploitabilityScore": 3.1, "impactScore": 5.3, "source": "security@huntr.dev", "type": "Secondary"}]}, "published": "2026-06-03T09:16:13.083", "references": [{"source": "security@huntr.dev", "url": "https://github.com/mlflow/mlflow/commit/4a3f2f720cb4f058c9e0c5b883e0acc9ab64a7f3"}, {"source": "security@huntr.dev", "url": "https://huntr.com/bounties/f8e591a0-0f19-4910-b82e-16c9956f2233"}], "sourceIdentifier": "security@huntr.dev", "vulnStatus": "Received", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-201"}], "source": "security@huntr.dev", "type": "Primary"}]}

{}

{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[0,3.11.0)"}}], "enrichment": {"confidence": 100.0, "confidence_source": "matching", "scores": [{"score": 100.0, "source": "matching"}]}, "original": {"product": "mlflow/mlflow", "source": "cna", "vendor": "mlflow"}, "product": "mlflow/mlflow", "vendor": "mlflow"}], "created": "2026-06-03T12:30:25.772041+00:00", "updated": "2026-06-03T12:30:25.772081+00:00", "vendors": ["mlflow", "mlflow$PRODUCT$mlflow/mlflow"]}