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 the issue.

Generation of Error Message Containing analytics metadata Information in Apache Superset. This issue affects Apache Superset: before 4.1.0. Users are recommended to upgrade to version 4.1.0, which fixes the issue.

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 for increased protection. This issue affects Apache Superset: before 4.0.2. Users are recommended to upgrade to version 4.0.2, which fixes the issue.

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 a MariaDB database table.This issue affects Apache Superset: before 3.1.3 and version 4.0.0 Users are recommended to upgrade to version 4.0.1 or 3.1.3, which fixes the issue.

An authenticated user could potentially access metadata for a datasource they are not authorized to view by submitting a targeted REST API request.This issue affects Apache Superset: before 3.1.2. Users are recommended to upgrade to version 3.1.2 or above, which fixes the issue.

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 to upgrade to version 3.1.1, which fixes the issue.

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.

Improper parsing of nested SQL statements on SQLLab would allow authenticated users to surpass their data authorization scope. 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, which fixes the issue.

A guest user could exploit a chart data REST API and send arbitrary SQL statements that on error could leak information from the underlying analytics database.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.

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 version 3.1.1 or 3.0.4, which fixes the issue.

This is a duplicate for CVE-2023-46104. 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.

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" https://api.mapbox.com" ;,             " https://events.mapbox.com" https://events.mapbox.com" ;,         ],         "object-src": "'none'",         "style-src": [             "'self'",             "'unsafe-inline'",         ],         "script-src": ["'self'", "'strict-dynamic'"],     },     "content_security_policy_nonce_in": ["script-src"],     "force_https": False,     "session_cookie_secure": False, }

A where_in JINJA macro allows users to specify a quote, which combined with a carefully crafted statement would allow for SQL injection in Apache Superset.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, which fixes the issue.

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.

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.

An authenticated malicious user could initiate multiple concurrent requests, each requesting multiple dashboard exports, leading to a possible denial of service. This issue affects Apache Superset: before 3.0.0

An authenticated user with read permissions on database connections metadata could potentially access sensitive information such as the connection's username. This issue affects Apache Superset before 3.0.0.

An authenticated attacker with update datasets permission could change a dataset link to an untrusted site by spoofing the HTTP Host header, users could be redirected to this site when clicking on that specific dataset. This issue affects Apache Superset versions before 3.0.0.

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.

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.