zenml-io

ZenML Server in the ZenML machine learning package before 0.46.7 for Python allows remote privilege escalation because the /api/v1/users/{user_name_or_id}/activate REST API endpoint allows access on the basis of a valid…

A directory traversal vulnerability exists in the zenml-io/zenml repository, specifically within the /api/v1/steps endpoint.

A Denial of Service (DoS) vulnerability in zenml-io/zenml version 0.66.0 allows unauthenticated attackers to cause excessive resource consumption by sending malformed multipart requests with arbitrary characters appended…

A vulnerability in zenml-io/zenml version 0.56.3 allows attackers to reuse old session credentials or session IDs due to insufficient session expiration.

ZenML version 0.83.1 is affected by a path traversal vulnerability in the `PathMaterializer` class.

An improper authorization vulnerability exists in the zenml-io/zenml repository, specifically within the API PUT /api/v1/users/id endpoint.

A reflected Cross-Site Scripting (XSS) vulnerability was identified in zenml-io/zenml version 0.57.1.

A clickjacking vulnerability exists in zenml-io/zenml versions up to and including 0.55.5 due to the application's failure to set appropriate X-Frame-Options or Content-Security-Policy HTTP headers.

zenml-io/zenml version 0.56.4 is vulnerable to an account takeover due to the lack of rate-limiting in the password change function.

A stored Cross-Site Scripting (XSS) vulnerability was identified in the zenml-io/zenml repository, specifically within the 'logo_url' field.

A session fixation vulnerability exists in the zenml-io/zenml application, where JWT tokens used for user authentication are not invalidated upon logout.

An issue was discovered in zenml-io/zenml versions up to and including 0.55.4.

A race condition vulnerability exists in zenml-io/zenml versions up to and including 0.55.3, which allows for the creation of multiple users with the same username when requests are sent in parallel.

zenml v0.55.4 was discovered to contain an arbitrary file upload vulnerability in the load function at /materializers/cloudpickle_materializer.py.