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.

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.

By default, stack traces for errors were enabled, which resulted in the exposure of internal traces on REST API endpoints to users. This vulnerability exists in Apache Superset versions up to and including 2.1.0.

Improper REST API permission in Apache Superset up to and including 2.1.0 allows for an authenticated Gamma users to test network connections, possible SSRF.

An improper default REST API permission for Gamma users in Apache Superset up to and including 2.1.0 allows for an authenticated Gamma user to test database connections.

A non Admin authenticated user could incorrectly create resources using the import charts feature, on Apache Superset up to and including 2.1.0. 

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.

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. All superset installations should always set a unique secure random SECRET_KEY. Your SECRET_KEY is used to securely sign all session cookies and encrypting sensitive information on the database. Add a strong SECRET_KEY to your `superset_config.py` file like: SECRET_KEY = <YOUR_OWN_RANDOM_GENERATED_SECRET_KEY> Alternatively you can set it with `SUPERSET_SECRET_KEY` environment variable.

An authenticated user with Gamma role authorization could have access to metadata information using non trivial methods in Apache Superset up to and including 2.0.1