CVE-2022-41703
Apache Superset SQL Alchemy Connector Unauthorized Database Access Vulnerability
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.
INFO
Published Date :
Jan. 16, 2023, 11:15 a.m.
Last Modified :
April 11, 2023, 3:15 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
2.5
Exploitability Score :
2.8
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2022-41703.
| URL | Resource |
|---|---|
| https://lists.apache.org/thread/g7jjw0okxjk5y57pbbxy19ydw42kqcos | Mailing List Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2022-41703 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-41703 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Apr. 11, 2023
Action Type Old Value New Value Changed 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. 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. -
Initial Analysis by [email protected]
Jan. 24, 2023
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N Changed Reference Type https://lists.apache.org/thread/g7jjw0okxjk5y57pbbxy19ydw42kqcos No Types Assigned https://lists.apache.org/thread/g7jjw0okxjk5y57pbbxy19ydw42kqcos Mailing List, Third Party Advisory Added CWE NIST CWE-89 Added CPE Configuration OR *cpe:2.3:a:apache:superset:*:*:*:*:*:*:*:* versions up to (including) 1.5.2 *cpe:2.3:a:apache:superset:2.0.0:-:*:*:*:*:*:* *cpe:2.3:a:apache:superset:2.0.0:rc1:*:*:*:*:*:* *cpe:2.3:a:apache:superset:2.0.0:rc2:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2022-41703 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2022-41703
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.07 }} -0.00%
score
0.26643
percentile