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CVE-2022-41703

UNKNOWN
Published 2023-01-16T10:14:01.332Z
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CVSS Score

V3.1
5.4
/10
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N
Base Score Metrics
Exploitability: N/A Impact: N/A

EPSS Score

v2025.03.14
0.001
probability
of exploitation in the wild

There is a 0.1% chance that this vulnerability will be exploited in the wild within the next 30 days.

Updated: 2025-06-25
Exploit Probability
Percentile: 0.360
Higher than 36.0% of all CVEs

Attack Vector Metrics

Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED

Impact Metrics

Confidentiality
LOW
Integrity
LOW
Availability
NONE

Description

A vulnerability in the SQL Alchemy connector of Apache Superset allows an authenticated user with read access to a specific database to add subqueries to the WHERE and HAVING fields referencing tables on the same database that the user should not have access to, despite the user having the feature flag "ALLOW_ADHOC_SUBQUERY" disabled (default value). This issue affects Apache Superset version 1.5.2 and prior versions and version 2.0.0.

Available Exploits

No exploits available for this CVE.

Related News

No news articles found for this CVE.

Affected Products

GitHub Security Advisories

Community-driven vulnerability intelligence from GitHub

✓ GitHub Reviewed MODERATE

Apache Superset's SQL Alchemy connector vulnerable to SQL Injection

GHSA-cxvp-3frm-3876

Advisory Details

A vulnerability in the SQL Alchemy connector of Apache Superset allows an authenticated user with read access to a specific database to add subqueries to the WHERE and HAVING fields referencing tables on the same database that the user should not have access to, despite the user having the feature flag "ALLOW_ADHOC_SUBQUERY" disabled (default value). This issue affects Apache Superset version 1.5.2 and prior versions and version 2.0.0.

Affected Packages

PyPI apache-superset
ECOSYSTEM: ≥0 ≤1.5.2
PyPI apache-superset

CVSS Scoring

CVSS Score

5.0

CVSS Vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N

Advisory provided by GitHub Security Advisory Database. Published: January 16, 2023, Modified: April 8, 2025

References

Published: 2023-01-16T10:14:01.332Z
Last Modified: 2025-04-08T20:33:49.417Z
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