{
    "dataType": "CVE_RECORD",
    "dataVersion": "5.2",
    "cveMetadata": {
        "cveId": "CVE-2026-54140",
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "state": "PUBLISHED",
        "assignerShortName": "GitHub_M",
        "dateReserved": "2026-06-11T21:15:33.870Z",
        "datePublished": "2026-11-05T16:13:31.126Z",
        "dateUpdated": "2026-11-05T16:13:31.126Z"
    },
    "containers": {
        "cna": {
            "title": "OpenHuman: MCP tool description injection: untrusted server descriptions execute in agent LLM context without sanitization",
            "problemTypes": [
                {
                    "descriptions": [
                        {
                            "cweId": "CWE-1427",
                            "lang": "en",
                            "description": "CWE-1427:",
                            "type": "CWE"
                        }
                    ]
                }
            ],
            "metrics": [
                {
                    "cvssV3_1": {
                        "attackComplexity": "HIGH",
                        "attackVector": "NETWORK",
                        "availabilityImpact": "HIGH",
                        "baseScore": 8.3,
                        "baseSeverity": "HIGH",
                        "confidentialityImpact": "HIGH",
                        "integrityImpact": "HIGH",
                        "privilegesRequired": "NONE",
                        "scope": "CHANGED",
                        "userInteraction": "REQUIRED",
                        "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:H",
                        "version": "3.1"
                    }
                }
            ],
            "references": [
                {
                    "name": "https://github.com/tinyhumansai/openhuman/security/advisories/GHSA-g6j9-89xv-v752",
                    "tags": [
                        "x_refsource_CONFIRM"
                    ],
                    "url": "https://github.com/tinyhumansai/openhuman/security/advisories/GHSA-g6j9-89xv-v752"
                },
                {
                    "name": "https://github.com/tinyhumansai/openhuman/pull/3215",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/tinyhumansai/openhuman/pull/3215"
                },
                {
                    "name": "https://github.com/tinyhumansai/openhuman/commit/00b8a669c6e6391a1be9f724bd9c8f755ee3c43e",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/tinyhumansai/openhuman/commit/00b8a669c6e6391a1be9f724bd9c8f755ee3c43e"
                },
                {
                    "name": "https://github.com/tinyhumansai/openhuman/releases/tag/v0.57.13",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/tinyhumansai/openhuman/releases/tag/v0.57.13"
                }
            ],
            "affected": [
                {
                    "vendor": "tinyhumansai",
                    "product": "openhuman",
                    "versions": [
                        {
                            "version": "< 0.57.13",
                            "status": "affected"
                        }
                    ]
                }
            ],
            "providerMetadata": {
                "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
                "shortName": "GitHub_M",
                "dateUpdated": "2026-11-05T16:13:31.126Z"
            },
            "descriptions": [
                {
                    "lang": "en",
                    "value": "OpenHuman is an open-source agent harness available as a desktop application and Rust library. Before 0.57.13, OpenHuman places names, descriptions, titles, and parameter definitions returned by configured external MCP servers into the agent model context without neutralizing instructions or bounding the descriptive fields. The McpRemoteTool records produced by list_tools preserve this remote content, while tool filtering considers the tool name and the prompt-injection detector screens user messages rather than MCP definitions. A malicious or compromised MCP server can therefore return a poisoned description that is evaluated on every agent turn and may direct the model to invoke other available tools, disclose accessible data, or perform unauthorized actions without a separate malicious user message. The issue affects users who configure an attacker-controlled or compromised MCP server. This issue is fixed in version 0.57.13."
                }
            ],
            "source": {
                "advisory": "GHSA-g6j9-89xv-v752",
                "discovery": "UNKNOWN"
            }
        }
    }
}