Chartbrew up to 5.2.0 SQL Dashboard Variable Substitution applyMysqlOrPostgresVariables code injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.83+ |
Summary
A vulnerability marked as critical has been reported in Chartbrew up to 5.2.0. This vulnerability affects the function applyMysqlOrPostgresVariables of the component SQL Dashboard Variable Substitution. The manipulation leads to code injection.
This vulnerability is traded as CVE-2026-54349. It is possible to initiate the attack remotely. There is no exploit available.
It is suggested to upgrade the affected component.
Details
A vulnerability was found in Chartbrew up to 5.2.0 and classified as critical. This issue affects the function applyMysqlOrPostgresVariables of the component SQL Dashboard Variable Substitution. The manipulation with an unknown input leads to a code injection vulnerability. Using CWE to declare the problem leads to CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
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.
The advisory is shared at github.com. The identification of this vulnerability is CVE-2026-54349 since 06/12/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1059 for this issue.
Upgrading to version 5.2.1 eliminates this vulnerability.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 9.8
CNA Vector (GitHub_M): 🔒
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Code injectionCWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Chartbrew 5.2.1
Timeline
06/12/2026 CVE reserved11/06/2026 Advisory disclosed
11/06/2026 VulDB entry created
11/06/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CNA: GitHub_M
CVE: CVE-2026-54349 (🔒)
GCVE (CVE): GCVE-0-2026-54349
GCVE (VulDB): GCVE-100-432149
Entry
Created: 11/06/2026 22:30Changes: 11/06/2026 22:30 (64)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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