{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2026-118628", "assignerOrgId": "99f1926a-a320-47d8-bbb5-42feb611262e", "state": "PUBLISHED", "assignerShortName": "zdi", "dateReserved": "2026-10-28T16:57:05.584Z", "datePublished": "2026-11-03T23:46:07.128Z", "dateUpdated": "2026-11-03T23:46:07.128Z"}, "containers": {"cna": {"providerMetadata": {"orgId": "99f1926a-a320-47d8-bbb5-42feb611262e", "shortName": "zdi", "dateUpdated": "2026-11-03T23:46:07.128Z"}, "title": "MLflow get-artifacts Server-Side Request Forgery Information Disclosure Vulnerability", "descriptions": [{"lang": "en", "value": "MLflow get-artifacts Server-Side Request Forgery Information Disclosure Vulnerability. This vulnerability allows remote attackers to disclose sensitive information on affected installations of MLflow. Authentication is not required to exploit this vulnerability.\n\nThe specific flaw exists within the get-artifacts function. The issue results from the lack of proper validation of a URI prior to accessing resources. An attacker can leverage this vulnerability to disclose information in the context of the server. Was ZDI-CAN-28192."}], "affected": [{"vendor": "MLflow", "product": "MLflow", "versions": [{"version": "3.8.0", "status": "affected"}], "defaultStatus": "unknown"}], "problemTypes": [{"descriptions": [{"lang": "en", "cweId": "CWE-918", "description": "CWE-918: Server-Side Request Forgery (SSRF)", "type": "CWE"}]}], "references": [{"url": "https://www.zerodayinitiative.com/advisories/ZDI-26-844/", "name": "ZDI-26-844", "tags": ["x_research-advisory"]}], "dateAssigned": "2026-10-28T16:57:05.610Z", "datePublic": "2026-10-29T19:05:29.302Z", "source": {"lang": "en", "value": "Muhammad Fadilullah Dzaki"}, "metrics": [{"format": "CVSS", "cvssV3_0": {"version": "3.0", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N", "baseScore": 8.2, "baseSeverity": "HIGH"}}]}}}

{}

{"affected": [{"affectedData": [{"defaultStatus": "unknown", "product": "MLflow", "vendor": "MLflow", "versions": [{"status": "affected", "version": "3.8.0"}]}], "source": "zdi-disclosures@trendmicro.com"}], "cveTags": [], "descriptions": [{"lang": "en", "value": "MLflow get-artifacts Server-Side Request Forgery Information Disclosure Vulnerability. This vulnerability allows remote attackers to disclose sensitive information on affected installations of MLflow. Authentication is not required to exploit this vulnerability.\n\nThe specific flaw exists within the get-artifacts function. The issue results from the lack of proper validation of a URI prior to accessing resources. An attacker can leverage this vulnerability to disclose information in the context of the server. Was ZDI-CAN-28192."}], "id": "CVE-2026-118628", "lastModified": "2026-11-04T00:17:24.150", "metrics": {"cvssMetricV30": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 8.2, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "LOW", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N", "version": "3.0"}, "exploitabilityScore": 3.9, "impactScore": 4.2, "source": "zdi-disclosures@trendmicro.com", "type": "Secondary"}]}, "published": "2026-11-04T00:17:24.037", "references": [{"source": "zdi-disclosures@trendmicro.com", "url": "https://www.zerodayinitiative.com/advisories/ZDI-26-844/"}], "sourceIdentifier": "zdi-disclosures@trendmicro.com", "vulnStatus": "Awaiting Analysis", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-918"}], "source": "zdi-disclosures@trendmicro.com", "type": "Primary"}]}

{"bugzilla": {"description": "mlflow: mlflow: Information disclosure via SSRF in get-artifacts", "id": "2566624", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2566624"}, "csaw": false, "cvss3": {"cvss3_base_score": "5.3", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N", "status": "draft"}, "cwe": "CWE-918", "details": ["A flaw was found in MLflow. An unauthenticated remote attacker can exploit a Server-Side Request Forgery (SSRF) vulnerability in the get-artifacts function due to improper validation of Uniform Resource Identifiers (URIs). By sending a crafted request, an attacker can coerce the server to access internal resources, resulting in sensitive information disclosure."], "name": "CVE-2026-118628", "package_state": [{"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-mlflow-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th06-cpu-torch210-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th06-cuda130-torch210-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th06-rocm64-torch291-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th-torch-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th-torch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th-torch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-training-cuda128-torch29-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2026-11-03T23:46:07Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-118628\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-118628\nhttps://www.zerodayinitiative.com/advisories/ZDI-26-844/"], "threat_severity": "Moderate"}

{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "3.8.0"}}], "enrichment": {"confidence": 100.0, "confidence_source": "matching", "scores": [{"score": 100.0, "source": "matching"}]}, "original": {"product": "MLflow", "source": "cna", "vendor": "MLflow"}, "product": "mlflow", "vendor": "mlflow"}, {"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "3.8.0"}}], "enrichment": {"confidence": 100.0, "confidence_source": "matching", "scores": [{"score": 100.0, "source": "matching"}]}, "original": {"product": "MLflow", "source": "cna", "vendor": "MLflow"}, "product": "mlflow/mlflow", "vendor": "mlflow"}], "created": "2026-11-04T01:45:05.954593+00:00", "updated": "2026-11-04T13:45:14.754134+00:00", "vendors": ["mlflow", "mlflow$PRODUCT$mlflow", "mlflow$PRODUCT$mlflow/mlflow"]}