Apache Superset <=2.1.2 Privilege Escalation via CTE SQL on Default Examples DB
CVE-2023-40610 Published on November 27, 2023

Apache Superset: Privilege escalation with default examples database
Improper authorization check and possible privilege escalation on Apache Superset up to but excluding 2.1.2. Using the default examples database connection that allows access to both the examples schema and Apache Superset's metadata database, an attacker using a specially crafted CTE SQL statement could change data on the metadata database. This weakness could result on tampering with the authentication/authorization data.

Github Repository Vendor Advisory NVD

Vulnerability Analysis

CVE-2023-40610 is exploitable with network access, and requires small amount of user privileges. This vulnerability is consided to have a high level of attack complexity. Public availability of a proof of concept (POC) exploit exists for CVE-2023-40610. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality, a high impact on integrity, and no impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
HIGH
Privileges Required:
LOW
User Interaction:
NONE
Scope:
CHANGED
Confidentiality Impact:
NONE
Integrity Impact:
HIGH
Availability Impact:
NONE

Weakness Type

What is an AuthZ Vulnerability?

The software performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.

CVE-2023-40610 has been classified to as an AuthZ vulnerability or weakness.


Products Associated with CVE-2023-40610

Want to know whenever a new CVE is published for Apache Superset? stack.watch will email you.

Apache Superset
 

Affected Versions

Apache Software Foundation Apache Superset:

Vulnerable Packages

The following package name and versions may be associated with CVE-2023-40610

Package Manager Vulnerable Package Versions Fixed In
pip apache-superset < 2.1.2 2.1.2

Exploit Probability

EPSS
0.31%
Percentile
54.03%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.