{"api_version":"1","generated_at":"2026-04-10T20:19:41+00:00","cve":"CVE-2026-40159","urls":{"html":"https://cve.report/CVE-2026-40159","api":"https://cve.report/api/cve/CVE-2026-40159.json","docs":"https://cve.report/api","cve_org":"https://www.cve.org/CVERecord?id=CVE-2026-40159","nvd":"https://nvd.nist.gov/vuln/detail/CVE-2026-40159"},"summary":{"title":"PraisonAI Exposes Sensitive Environment Variable via Untrusted MCP Subprocess Execution","description":"PraisonAI is a multi-agent teams system. Prior to 4.5.128, PraisonAI’s MCP (Model Context Protocol) integration allows spawning background servers via stdio using user-supplied command strings (e.g., MCP(\"npx -y @smithery/cli ...\")). These commands are executed through Python’s subprocess module. By default, the implementation forwards the entire parent process environment to the spawned subprocess. 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Prior to 4.5.128, PraisonAI’s MCP (Model Context Protocol) integration allows spawning background servers via stdio using user-supplied command strings (e.g., MCP(\"npx -y @smithery/cli ...\")). These commands are executed through Python’s subprocess module. By default, the implementation forwards the entire parent process environment to the spawned subprocess. As a result, any MCP command executed in this manner inherits all environment variables from the host process, including sensitive data such as API keys, authentication tokens, and database credentials. This behavior introduces a security risk when untrusted or third-party commands are used. In common scenarios where MCP tools are invoked via package runners such as npx -y, arbitrary code from external or potentially compromised packages may execute with access to these inherited environment variables. This creates a risk of unintended credential exposure and enables potential supply chain attacks through silent exfiltration of secrets. This vulnerability is fixed in 4.5.128.","Type":"Description","Title":"PraisonAI Exposes Sensitive Environment Variable via Untrusted M"}]}}}