{
    "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": "2026-08-14T12:04:28.457Z"
    },
    "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"
            }
        },
        "adp": [
            {
                "references": [
                    {
                        "url": "https://huntr.com/bounties/f8e591a0-0f19-4910-b82e-16c9956f2233",
                        "tags": [
                            "exploit"
                        ]
                    }
                ],
                "metrics": [
                    {
                        "other": {
                            "type": "ssvc",
                            "content": {
                                "timestamp": "2026-06-03T13:10:20.303201Z",
                                "id": "CVE-2026-4035",
                                "options": [
                                    {
                                        "Exploitation": "poc"
                                    },
                                    {
                                        "Automatable": "no"
                                    },
                                    {
                                        "Technical Impact": "partial"
                                    }
                                ],
                                "role": "CISA Coordinator",
                                "version": "2.0.3"
                            }
                        }
                    }
                ],
                "title": "CISA ADP Vulnrichment",
                "providerMetadata": {
                    "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
                    "shortName": "CISA-ADP",
                    "dateUpdated": "2026-06-03T13:10:24.407Z"
                }
            },
            {
                "affected": [
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-mlflow-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-th06-cpu-torch210-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-th06-cuda130-torch210-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-th06-rocm64-torch291-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-training-cuda128-torch29-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    },
                    {
                        "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
                        "cpes": [
                            "cpe:/a:redhat:openshift_ai"
                        ],
                        "defaultStatus": "unaffected",
                        "packageName": "rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9",
                        "product": "Red Hat OpenShift AI (RHOAI)",
                        "vendor": "Red Hat"
                    }
                ],
                "datePublic": "2026-06-03T07:18:08.512Z",
                "descriptions": [
                    {
                        "lang": "en",
                        "value": "A flaw was found in MLflow. This vulnerability allows an attacker to exfiltrate sensitive server-side environment credentials. It occurs because the AI Gateway secrets can resolve environment variables, which are then sent to an attacker-controlled endpoint. This could lead to unauthorized access to cloud resources and potentially enable cross-boundary code execution."
                    }
                ],
                "metrics": [
                    {
                        "other": {
                            "content": {
                                "namespace": "https://access.redhat.com/security/updates/classification/",
                                "value": "Important"
                            },
                            "type": "Red Hat severity rating"
                        }
                    },
                    {
                        "cvssV3_1": {
                            "attackComplexity": "LOW",
                            "attackVector": "NETWORK",
                            "availabilityImpact": "NONE",
                            "baseScore": 7.7,
                            "baseSeverity": "HIGH",
                            "confidentialityImpact": "HIGH",
                            "integrityImpact": "NONE",
                            "privilegesRequired": "LOW",
                            "scope": "CHANGED",
                            "userInteraction": "NONE",
                            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N",
                            "version": "3.1"
                        },
                        "format": "CVSS"
                    }
                ],
                "problemTypes": [
                    {
                        "descriptions": [
                            {
                                "cweId": "CWE-201",
                                "description": "Insertion of Sensitive Information Into Sent Data",
                                "lang": "en",
                                "type": "CWE"
                            }
                        ]
                    }
                ],
                "references": [
                    {
                        "tags": [
                            "vdb-entry",
                            "x_refsource_REDHAT"
                        ],
                        "url": "https://access.redhat.com/security/cve/CVE-2026-4035"
                    },
                    {
                        "name": "RHBZ#2484318",
                        "tags": [
                            "issue-tracking",
                            "x_refsource_REDHAT"
                        ],
                        "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2484318"
                    },
                    {
                        "tags": [
                            "x_sadp-csaf-vex"
                        ],
                        "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-4035.json"
                    }
                ],
                "timeline": [
                    {
                        "lang": "en",
                        "time": "2026-06-03T09:00:55.993Z",
                        "value": "Reported to Red Hat."
                    },
                    {
                        "lang": "en",
                        "time": "2026-06-03T07:18:08.512Z",
                        "value": "Made public."
                    }
                ],
                "title": "python-mlflow: MLflow: Sensitive credential exfiltration via environment variable resolution in AI Gateway secrets",
                "x_adpType": "supplier",
                "x_generator": {
                    "engine": "sadp-cli 1.0.0"
                },
                "providerMetadata": {
                    "orgId": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
                    "shortName": "redhat-SADP",
                    "dateUpdated": "2026-08-14T12:04:28.457Z"
                }
            }
        ]
    }
}