CVE-2025-69196

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{"bugzilla": {"description": "fastmcp: FastMCP: Improper token issuance due to incorrect resource parameter handling", "id": "2448179", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2448179"}, "csaw": false, "cvss3": {"cvss3_base_score": "7.4", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N", "status": "draft"}, "cwe": "CWE-1220", "details": ["A flaw was found in FastMCP, a framework for building MCP applications. The server does not correctly process the resource parameter provided by the client during authorization and token requests. This can lead to security tokens being issued for an unintended base URL (Uniform Resource Locator) instead of the specific MCP server. Such improper token issuance could allow an attacker to gain unauthorized access or disclose sensitive information."], "name": "CVE-2025-69196", "package_state": [{"cpe": "cpe:/a:redhat:rhdh:1", "fix_state": "Not affected", "package_name": "rhdh/rhdh-hub-rhel9", "product_name": "Red Hat Developer Hub"}, {"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-minimal-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-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-minimal-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-minimal-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-minimal-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-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)"}, {"cpe": "cpe:/a:redhat:satellite:6", "fix_state": "Affected", "package_name": "satellite/foreman-mcp-server-rhel9", "product_name": "Red Hat Satellite 6"}], "public_date": "2026-03-16T18:07:06Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2025-69196\nhttps://nvd.nist.gov/vuln/detail/CVE-2025-69196\nhttps://github.com/PrefectHQ/fastmcp/security/advisories/GHSA-5h2m-4q8j-pqpj"], "threat_severity": "Important"}

{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[0,2.14.2)"}}], "enrichment": {"confidence": 100.0, "confidence_source": "matching", "scores": [{"score": 100.0, "source": "matching"}]}, "original": {"product": "fastmcp", "source": "cna", "vendor": "jlowin"}, "product": "fastmcp", "vendor": "jlowin"}], "analysis": {"en": {"generated_at": "2026-03-18T16:23:59.641813+00:00", "value": {"mitigation_remediation": ["Upgrade to FastMCP 2.14.2 or later"], "summary": {"action": "Patch Immediately", "impact": "Token misuse across MCP servers"}, "threat_synthesis": {"affected_systems": "Affected vendor: jlowin:fastmcp. All releases prior to 2.14.2 are impacted. The issue is fixed in FastMCP 2.14.2 and later. The relevant CPE is cpe:2.3:a:jlowin:fastmcp:*:*:*:*:*:*:*:*.", "description_and_impact": "FastMCP is a framework for building MCP applications. The vulnerability lies in the OAuthProxy initialization, where the authorization and token requests ignore the resource parameter supplied by the client. As a result, tokens issued are tied to the base_url rather than the intended MCP server, allowing tokens issued for one server to be reused against another. This can enable an adversary to access resources or perform actions on other MCP servers without proper authorization. The weakness corresponds to CWE-1220 (Improper Authorization) and CWE-863 (Missing Authorization Check).", "risk_and_exploitability": "The CVSS score of 7.4 indicates high severity, while an EPSS of less than 1% suggests exploitation is currently rare. The vulnerability is not listed in the KEV catalog. An attacker likely needs network access to a client that can request tokens and supply fabricated resource parameters; no privileged access is required, making it relatively simple if such access is available. The impact of unauthorized cross\u2011server access is significant, resulting in a high overall risk."}}}}, "created": "2026-03-17T09:52:20.970536+00:00", "updated": "2026-03-24T10:50:01.304666+00:00", "vendors": ["jlowin", "jlowin$PRODUCT$fastmcp"]}