---
id: "CVE-2026-118378"
kind: "vulnerability"
aliases: ["CVE-2026-118378"]
title: "Tabularis: SQLite describe_table MCP tool allows stacked SQL statements"
severity: "high"
cvss: 8.5
epss: null
exploited: false
status: "open"
category: "ai-tooling"
products: []
ecosystems: []
tags: ["ai-agents", "ai-tooling", "mcp", "sqlite", "tabularis"]
not_affected_if: ["mcp-disabled", "no-sqlite-connections"]
published_at: "2026-10-28T03:17:14+00:00"
first_seen_at: "2026-10-28T03:31:02+00:00"
updated_at: "2026-10-28T03:32:28+00:00"
sources: [{"source": "nvd", "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-118378", "first_seen_at": "2026-10-28T03:31:02+00:00"}]
---

# Tabularis: SQLite describe_table MCP tool allows stacked SQL statements

Tabularis before 0.28.0 passes the table_name argument of its MCP describe_table tool into a SQLite PRAGMA without proper escaping. A crafted name closes the quoted argument and appends extra statements that can read, modify, or drop SQLite data, even in read-only mode.

_Summary, check and fix written by a model from the sources; labelled as such._

## How to check

- Check the installed Tabularis version; any version below `0.28.0` is affected.
- Check whether the Tabularis MCP server is enabled and connected to SQLite databases.

## Fix

- Upgrade Tabularis to `0.28.0` or later.
- Until upgraded, disable the MCP server or stop exposing SQLite connections to MCP clients.

## Timeline

- 2026-10-28T03:31:02+00:00 nvd https://nvd.nist.gov/vuln/detail/CVE-2026-118378

## From the sources

Tabularis before 0.28.0 contains an SQL injection vulnerability in its SQLite driver that allows MCP clients to execute stacked statements by supplying a crafted table_name to the describe_table tool. Attackers, including AI agents steered by untrusted content, can close the quoted PRAGMA argument and append statements to read, modify, or drop SQLite data, bypassing read-only mode and write approval.

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_Free to read at a human pace. An API with keys and an MCP server are in preparation; early access: hello@infrastack.ai_