Advisories for Pypi/Apache-Superset package

2024

Apache Superset: SQLLab Improper readonly query validation allows unauthorized write access

Improper Authorization vulnerability in Apache Superset. On Postgres analytic databases an attacker with SQLLab access can craft a specially designed SQL DML statement that is Incorrectly identified as a read-only query, enabling its execution. Non postgres analytics database connections and postgres analytics database connections set with a readonly user (advised) are not vulnerable. This issue affects Apache Superset: before 4.1.0. Users are recommended to upgrade to version 4.1.0, which fixes …

Apache Superset: Improper SQL authorisation, parse not checking for specific postgres functions

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Superset. Specifically, certain engine-specific functions are not checked, which allows attackers to bypass Apache Superset's SQL authorization. This issue is a follow-up to CVE-2024-39887 with additional disallowed PostgreSQL functions now included: query_to_xml_and_xmlschema, table_to_xml, table_to_xml_and_xmlschema. This issue affects Apache Superset: <4.1.0. Users are recommended to upgrade to version 4.1.0, which fixes the issue or add these …

Apache Superset vulnerable to improper SQL authorization

An SQL Injection vulnerability in Apache Superset exists due to improper neutralization of special elements used in SQL commands. Specifically, certain engine-specific functions are not checked, which allows attackers to bypass Apache Superset's SQL authorization. To mitigate this, a new configuration key named DISALLOWED_SQL_FUNCTIONS has been introduced. This key disallows the use of the following PostgreSQL functions: version, query_to_xml, inet_server_addr, and inet_client_addr. Additional functions can be added to this list …

Apache Superset server arbitrary file read

Improper Input Validation vulnerability in Apache Superset, allows for an authenticated attacker to create a MariaDB connection with local_infile enabled. If both the MariaDB server (off by default) and the local mysql client on the web server are set to allow for local infile, it's possible for the attacker to execute a specific MySQL/MariaDB SQL command that is able to read files from the server and insert their content on …

Apache Superset uncontrolled resource consumption

Duplicate Advisory This advisory has been withdrawn because it is a duplicate of CVE-2023-46104. This link is maintained to preserve external references. Original Description With correct CVE version ranges for affected Apache Superset. Uncontrolled resource consumption can be triggered by authenticated attacker that uploads a malicious ZIP to import database, dashboards or datasets. This vulnerability exists in Apache Superset versions up to and including 2.1.2 and versions 3.0.0, 3.0.1.

Apache Superset: Improper error handling on alerts

An authenticated user with privileges to create Alerts on Alerts & Reports has the capability to generate a specially crafted SQL statement that triggers an error on the database. This error is not properly handled by Apache Superset and may inadvertently surface in the error log of the Alert exposing possibly sensitive data. This issue affects Apache Superset: before 3.0.4, from 3.1.0 before 3.1.1. Users are recommended to upgrade to …

Apache Superset: Improper data authorization when creating a new dataset

Apache Superset with custom roles that include can write on dataset and without all data access permissions, allows for users to create virtual datasets to data they don't have access to. These users could then use those virtual datasets to get access to unauthorized data. This issue affects Apache Superset: before 3.0.4, from 3.1.0 before 3.1.1. Users are recommended to upgrade to version 3.1.1 or 3.0.4, which fixes the issue.

Apache Superset: Improper authorization validation on dashboards and charts import

A low privilege authenticated user could import an existing dashboard or chart that they do not have access to and then modify its metadata, thereby gaining ownership of the object. However, it's important to note that access to the analytical data of these charts and dashboards would still be subject to validation based on data access privileges. This issue affects Apache Superset: before 3.0.4, from 3.1.0 before 3.1.1.Users are recommended …

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

A stored cross-site scripting (XSS) vulnerability exists in Apache Superset before 3.0.3. An authenticated attacker with create/update permissions on charts or dashboards could store a script or add a specific HTML snippet that would act as a stored XSS. For 2.X versions, users should change their config to include: TALISMAN_CONFIG = { "content_security_policy": { "base-uri": ["'self'"], "default-src": ["'self'"], "img-src": ["'self'", "blob:", "data:"], "worker-src": ["'self'", "blob:"], "connect-src": [ "'self'", " https://api.mapbox.com" …

2023

Uncontrolled Resource Consumption

Uncontrolled resource consumption can be triggered by authenticated attacker that uploads a malicious ZIP to import database, dashboards or datasets. This vulnerability exists in Apache Superset versions up to and including 2.1.2 and versions 3.0.0, 3.0.1.

Incorrect Authorization

An authenticated Gamma user has the ability to create a dashboard and add charts to it, this user would automatically become one of the owners of the charts allowing him to incorrectly have write permissions to these charts.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 or 2.1.3, which fixes the issue.

Incorrect Default Permissions

Unnecessary read permissions within the Gamma role would allow authenticated users to read configured CSS templates and annotations. This issue affects Apache Superset: before 2.1.2. Users should upgrade to version or above 2.1.2 and run superset init to reconstruct the Gamma role or remove can_read permission from the mentioned resources.

Incorrect Authorization

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.

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

Improper payload validation and an improper REST API response type, made it possible for an authenticated malicious actor to store malicious code into Chart's metadata, this code could get executed if a user specifically accesses a specific deprecated API endpoint. This issue affects Apache Superset versions prior to 2.1.2. Users are recommended to upgrade to version 2.1.2, which fixes this issue.

Incorrect Authorization

An Incorrect authorisation check in SQLLab in Apache Superset versions up to and including 2.1.0. This vulnerability allows an authenticated user to query tables that they do not have proper access to within Superset. The vulnerability can be exploited by leveraging a SQL parsing vulnerability.

Incorrect Authorization

Improper data authorization check on Jinja templated queries in Apache Superset up to and including 2.1.0 allows for an authenticated user to issue queries on database tables they may not have access to.

Improper Input Validation

Apache Superset would allow for SQLite database connections to be incorrectly registered when an attacker uses alternative driver names like sqlite+pysqlite or by using database imports. This could allow for unexpected file creation on Superset webservers. Additionally, if Apache Superset is using a SQLite database for its metadata (not advised for production use) it could result in more severe vulnerabilities related to confidentiality and integrity. This vulnerability exists in Apache …

Deserialization of Untrusted Data

If an attacker gains write access to the Apache Superset metadata database, they could persist a specifically crafted Python object that may lead to remote code execution on Superset's web backend. This vulnerability impacts Apache Superset versions 1.5.0 up to and including 2.1.0.

Insecure Default Initialization of Resource

Session Validation attacks in Apache Superset versions up to and including 2.0.1. Installations that have not altered the default configured SECRET_KEY according to installation instructions allow for an attacker to authenticate and access unauthorized resources. This does not affect Superset administrators who have changed the default value for SECRET_KEY config.

Server-Side Request Forgery (SSRF)

A malicious actor who has been authenticated and granted specific permissions in Apache Superset may use the import dataset feature in order to conduct Server-Side Request Forgery attacks and query internal resources on behalf of the server where Superset is deployed. This vulnerability exists in Apache Superset versions up to and including 2.0.1.

Improper Access Control

When explicitly enabling the feature flag DASHBOARD_CACHE (disabled by default), the system allowed for an unauthenticated user to access dashboard configuration metadata using a REST API Get endpoint. This issue affects Apache Superset version 1.5.2 and prior versions and version 2.0.0.

Apache Superset's SQL Alchemy connector vulnerable to SQL Injection

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.

2022
2021

Cross-site Scripting

Apache Superset allowed the creation of a Markdown component on a Dashboard page for describing chart's related information. Abusing this functionality, a malicious user could inject javascript code executing unwanted action in the context of the user's browser. The javascript code will be automatically executed (Stored XSS) when a legitimate user surfs on the dashboard page. The vulnerability is exploitable creating a div section and embedding in it a svg …

2020

Query Injection

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 …

OS Command Injection

While investigating a bug report on Apache Superset, it was determined that an authenticated user could craft requests via a number of templated text fields in the product that would allow arbitrary access to Python’s os package in the web application process in versions. It was thus possible for an authenticated user to list and access files, environment variables, and process information. In addition, it was possible to set environment …

Information Exposure

Authenticated Apache Superset users are able to retrieve other users' information, including hashed passwords, by accessing an unused and undocumented API endpoint on Apache Superset.

2019
2018