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.

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.

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 Superset versions up to and including 2.1.0.

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. The Superset metadata db is an 'internal' component that is typically only accessible directly by the system administrator and the superset process itself. Gaining access to that database should be difficult and require significant privileges. This vulnerability impacts Apache Superset versions 1.5.0 up to and including 2.1.0. Users are recommended to upgrade to version 2.1.1 or later.

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.