---
id: "CVE-2026-119375"
kind: "vulnerability"
aliases: ["CVE-2026-119375"]
title: "SQLite: crafted WAL file leaks uninitialized page-cache memory to queries"
severity: "medium"
cvss: 6.8
epss: null
exploited: false
status: "open"
category: "package"
products: []
ecosystems: []
tags: ["c", "embedded-database", "node", "package", "python", "sqlite"]
not_affected_if: ["sqlite-3.54.0-or-later", "trusted-database-files-only"]
published_at: "2026-10-30T12:16:36+00:00"
first_seen_at: "2026-10-30T12:30:23+00:00"
updated_at: "2026-10-30T12:32:37+00:00"
sources: [{"source": "nvd", "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-119375", "first_seen_at": "2026-10-30T12:30:23+00:00"}]
---

# SQLite: crafted WAL file leaks uninitialized page-cache memory to queries

SQLite versions before 3.54.0 read uninitialized page-cache memory when a database comes with a WAL file that has an undersized page size. An attacker who supplies such a crafted database and WAL pair can make queries like substr() return stale bytes, exposing other table rows and internal pointers.

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

## How to check

- Check the SQLite library version your application links against, for example `sqlite3 --version` on the host or the bundled version in your language driver.
- Look for applications that open database files supplied by users or untrusted sources.

## Fix

- SQLite `3.54.0` or later, per the advisory description.

## Timeline

- 2026-10-30T12:30:23+00:00 nvd https://nvd.nist.gov/vuln/detail/CVE-2026-119375

## From the sources

SQLite before 3.54.0 contains an information disclosure vulnerability that allows attackers to read uninitialized page-cache memory by supplying a WAL file with an undersized page size. Attackers can craft a database and WAL file whose oversized record payload makes queries like substr() return stale bytes, disclosing other table rows and internal pointers.

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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_