High severity · published Sep 30, 2020
CVE-2020-13952
In the course of work on the open source project it was discovered that authenticated users running queries against Hive and Presto database engines could access information via a…
8.1
CVSS
2%
EPSS
No
On KEV
Description
In the course of work on the open source project it was discovered that authenticated users running queries against Hive and Presto database engines could access information via a number of templated fields including the contents of query description metadata database, the hashed version of the authenticated users’ password, and access to connection information including the plaintext password for the current connection. It would also be possible to run arbitrary methods on the database connection object for the Presto or Hive connection, allowing the user to bypass security controls internal to Superset. This vulnerability is present in every Apache Superset version < 0.37.2.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
Attack vector
Network
Complexity
Low
Privileges
Low
User interaction
None
Confidentiality
High
Integrity
High
Availability
None
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)2.0% · higher than 81% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
SU
Superset · Apache
before 0.37.2 · source: NVD
Affected product
SU
Superset
Apache
More from Superset
9.8
CVE-2023-27524
Apache Superset: Session validation vulnerability when using provided default SECRET_KEY
9.8
CVE-2024-53947
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Superset
9.8
CVE-2024-39887
An SQL Injection vulnerability in Apache Superset exists due to improper neutralization of special elements used in SQL commands
9.8
CVE-2022-27479
Apache Superset before 1.4.2 is vulnerable to SQL injection in chart data requests
9.8
CVE-2018-8021
Versions of Superset prior to 0.23 used an unsafe load method from the pickle library to deserialize data leading to possible remote code execution