CyberRota Analysis
AI-GeneratedThe prebuilt BigQuery forecasting tool in the Google APIs MCP Toolbox is vulnerable to SQL injection and security boundary bypass due to improper handling of client-controlled parameters, allowing attackers to inject malicious queries. This vulnerability enables unauthorized access to arbitrary BigQuery tables, potentially leading to data exposure. Organizations utilizing this tool should prioritize remediation to protect sensitive data and maintain compliance with security best practices.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
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Original NVD Description
A SQL injection (CWE-89) and security boundary bypass (CWE-863) vulnerability exists in the prebuilt BigQuery forecasting tool (bigquery-forecast) of googleapis/mcp-toolbox. The tool accepts client-controlled parameters (data_col, timestamp_col, and id_cols) as plain strings and interpolates them unescaped via fmt.Sprintf directly into a generated AI.FORECAST table-valued SELECT statement. While MCP Toolbox utilizes an allowedDatasets mechanism to restrict queries, this defense only validates the history_data parameter; the final assembled query is executed without re-validation. An attacker can break out of the string literal fields (such as timestamp_col) to inject a valid multi-statement or cross-dataset query block. This allows an unauthorized user to bypass the operator-configured allowedDatasets boundary and read arbitrary BigQuery tables.