7 matches found
CVE-2026-31841
Hyperterse is a tool-first MCP framework for building AI-ready backend surfaces from declarative config. Prior to v2.2.0, the search tool allows LLMs to search for tools using natural language. While returning results, Hyperterse also returned the raw SQL queries, exposing statements which were...
EUVD-2026-11617
Hyperterse: Raw exposure of database statements in MCP search tool...
CVE-2026-31841
Hyperterse is a tool-first MCP framework for building AI-ready backend surfaces from declarative config. Prior to v2.2.0, the search tool allows LLMs to search for tools using natural language. While returning results, Hyperterse also returned the raw SQL queries, exposing statements which were...
CVE-2026-31841 Raw exposure of database statements in Hyperterse MCP search tool
Hyperterse is a tool-first MCP framework for building AI-ready backend surfaces from declarative config. Prior to v2.2.0, the search tool allows LLMs to search for tools using natural language. While returning results, Hyperterse also returned the raw SQL queries, exposing statements which were...
CVE-2026-31841
Hyperterse is a tool-first MCP framework for building AI-ready backend surfaces from declarative config. Prior to v2.2.0, the search tool allows LLMs to search for tools using natural language. While returning results, Hyperterse also returned the raw SQL queries, exposing statements which were...
Hyperterse 安全漏洞
Hyperterse is an open-source declarative framework developed by Hyperterse for building high-performance MCP servers. Versions of Hyperterse prior to v2.2.0 contained security vulnerabilities. These vulnerabilities stemmed from the search tool returning the original SQL queries, which could expos...
PT-2026-25015
Hyperterse is a tool-first MCP framework for building AI-ready backend surfaces from declarative config. Prior to v2.2.0, the search tool allows LLMs to search for tools using natural language. While returning results, Hyperterse also returned the raw SQL queries, exposing statements which were...