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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.

An improper authorization vulnerability exists in the main-latest version of BerriAI/litellm. When a user with the role 'internal_user_viewer' logs into the application, they are provided with an overly privileged API key. This key can be used to access all the admin functionality of the application, including endpoints such as '/users/list' and '/users/get_users'. This vulnerability allows for privilege escalation within the application, enabling any account to become a PROXY ADMIN.

In berriai/litellm version v1.52.1, an issue in proxy_server.py causes the leakage of Langfuse API keys when an error occurs while parsing team settings. This vulnerability exposes sensitive information, including langfuse_secret and langfuse_public_key, which can provide full access to the Langfuse project storing all requests.

In berriai/litellm before version 1.44.12, the `litellm/litellm_core_utils/litellm_logging.py` file contains a vulnerability where the API key masking code only masks the first 5 characters of the key. This results in the leakage of almost the entire API key in the logs, exposing a significant amount of the secret key. The issue affects version v1.44.9.

A Denial of Service (DoS) vulnerability exists in open-webui/open-webui version 0.3.21. This vulnerability affects multiple endpoints, including `/ollama/models/upload`, `/audio/api/v1/transcriptions`, and `/rag/api/v1/doc`. The application processes multipart boundaries without authentication, leading to resource exhaustion. By appending additional characters to the multipart boundary, an attacker can cause the server to parse each byte of the boundary, ultimately leading to service unavailability. This vulnerability can be exploited remotely, resulting in high CPU and memory usage, and rendering the service inaccessible to legitimate users.