#vulnerability

In mlflow/mlflow version 2.18, an admin is able to create a new user account without setting a password. This vulnerability could lead to security risks, as accounts without passwords may be susceptible to unauthorized access. Additionally, this issue violates best practices for secure user account management. The issue is fixed in version 2.19.0.

A Cross-Site Request Forgery (CSRF) vulnerability exists in the Signup feature of mlflow/mlflow versions 2.17.0 to 2.20.1. This vulnerability allows an attacker to create a new account, which may be used to perform unauthorized actions on behalf of the malicious user.

Severity: medium (5.8) / important Server-Side Request Forgery (SSRF), Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting'), URL Redirection to Untrusted Site ('Open Redirect') vulnerability in Apache Druid. This issue affects all previous Druid versions. When using the Druid management proxy, a request that has a specially crafted URL could be used to redirect the request to an arbitrary server instead. This has the potential for XSS or XSRF. The user is required to be authenticated for this exploit. The management proxy is enabled in Druid's out-of-box configuration. It may be disabled to mitigate this vulnerability. If the management proxy is disabled, some web console features will not work properly, but core functionality is unaffected. Users are recommended to upgrade to Druid 31.0.2 or Druid 32.0.1, which fixes the issue.

A vulnerability in the SageMaker Workflow component of aws/sagemaker-python-sdk allows for the possibility of MD5 hash collisions in all versions. This can lead to workflows being inadvertently replaced due to the reuse of results from different configurations that produce the same MD5 hash. This issue can cause integrity problems within the pipeline, potentially leading to erroneous processing outcomes.

A vulnerability in man-group/dtale versions 3.15.1 allows an attacker to override global state settings to enable the `enable_custom_filters` feature, which is typically restricted to trusted environments. Once enabled, the attacker can exploit the /test-filter endpoint to execute arbitrary system commands, leading to remote code execution (RCE). This issue is addressed in version 3.16.1.

In mlflow/mlflow version 2.17.2, the `/graphql` endpoint is vulnerable to a denial of service attack. An attacker can create large batches of queries that repeatedly request all runs from a given experiment. This can tie up all the workers allocated by MLFlow, rendering the application unable to respond to other requests. This vulnerability is due to uncontrolled resource consumption.

In version 3.25.0 of aimhubio/aim, the tracking server is vulnerable to a denial of service attack. The server overrides the maximum size for websocket messages, allowing very large images to be tracked. This causes the server to become unresponsive to other requests while processing the large image, leading to a denial of service condition.

A vulnerability in ollama/ollama versions <=0.3.14 allows a malicious user to upload and create a customized GGUF model file on the Ollama server. This can lead to a division by zero error in the ggufPadding function, causing the server to crash and resulting in a Denial of Service (DoS) attack.

A vulnerability in ollama/ollama <=0.3.14 allows a malicious user to create a customized GGUF model file, upload it to the Ollama server, and create it. This can cause the server to allocate unlimited memory, leading to a Denial of Service (DoS) attack.

In version 3.25.0 of aimhubio/aim, a denial of service vulnerability exists. By tracking a large number of `Text` objects and then querying them simultaneously through the web API, the Aim web server becomes unresponsive to other requests for an extended period while processing and returning these objects. This vulnerability can be exploited repeatedly, leading to a complete denial of service.