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...

PT-2026-25015

Name of the Vulnerable Software and Affected Versions Hyperterse versions prior to 2.2.0 Description Hyperterse is a framework designed for building AI-ready backend surfaces. Prior to version 2.2.0, the search tool permitted Large Language Models LLMs to search for tools using natural language...

Hyperterse security vulnerabilities

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...