A where_in JINJA macro allows users to specify a quote, which combined with a carefully crafted statement would allow for SQL injection in Apache Superset.This issue affects Apache Superset: before 2.1.2, from 3.0.0 before 3.0.2.

Users are recommended to upgrade to version 3.0.2, which fixes the issue.

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Source ID Title
EUVD EUVD EUVD-2023-3233 A where_in JINJA macro allows users to specify a quote, which combined with a carefully crafted statement would allow for SQL injection in Apache Superset.This issue affects Apache Superset: before 2.1.2, from 3.0.0 before 3.0.2. Users are recommended to upgrade to version 3.0.2, which fixes the issue.
Github GHSA Github GHSA GHSA-jfxj-xf67-x723 Apache Superset SQL injection vulnerability
Fixes

Solution

No solution given by the vendor.


Workaround

No workaround given by the vendor.

History

Sat, 12 Jul 2025 13:45:00 +0000

Type Values Removed Values Added
Metrics epss

{'score': 0.00468}

epss

{'score': 0.00611}


Thu, 13 Feb 2025 17:30:00 +0000

Type Values Removed Values Added
Description A where_in JINJA macro allows users to specify a quote, which combined with a carefully crafted statement would allow for SQL injection in Apache Superset.This issue affects Apache Superset: before 2.1.2, from 3.0.0 before 3.0.2. Users are recommended to upgrade to version 3.0.2, which fixes the issue. A where_in JINJA macro allows users to specify a quote, which combined with a carefully crafted statement would allow for SQL injection in Apache Superset.This issue affects Apache Superset: before 2.1.2, from 3.0.0 before 3.0.2. Users are recommended to upgrade to version 3.0.2, which fixes the issue.

Projects

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cve-icon MITRE

Status: PUBLISHED

Assigner: apache

Published:

Updated: 2025-02-13T17:18:54.638Z

Reserved: 2023-11-30T13:16:23.851Z

Link: CVE-2023-49736

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Modified

Published: 2023-12-19T10:15:08.323

Modified: 2025-02-13T18:15:45.373

Link: CVE-2023-49736

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

No data.

Weaknesses