CVE-2026-54349
Deferred Deferred - Pending Action

SQL Injection in Chartbrew via Dashboard Variables

Vulnerability report for CVE-2026-54349, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-11-06

Last updated on: 2026-11-06

Assigner: GitHub, Inc.

Description

Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. Prior to 5.2.1, SQL dashboard-variable substitution used attacker-controlled JavaScript replacement strings unsafely across SQL connectors and separately failed to escape backslashes for MySQL and MariaDB quoted contexts. The vulnerable surface is public and embedded dashboard/chart requests that call applyMysqlOrPostgresVariables. An unauthenticated user sends crafted URL filter values to a public or embedded chart backed by a stored SQL query. Replacement-string dollar sequences can alter SQL independently of the database engine, while MySQL and MariaDB backslash handling provides a second quoted-string escape path. The target must expose a public or embedded chart using URL-controlled variables in a SQL query; only the backslash branch is specific to MySQL and MariaDB. Injected SQL can read, modify, or delete data available to the configured database account. This issue is fixed in version 5.2.1.

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Meta Information

Published
2026-11-06
Last Modified
2026-11-06
Generated
2026-11-06
EPSS Evaluated
N/A
NVD
EUVD

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
chartbrew chartbrew 5.2.1

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

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