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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 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.
mudler/localai version v2.21.1 contains a Cross-Site Scripting (XSS) vulnerability in its search functionality. The vulnerability arises due to improper sanitization of user input, allowing the injection and execution of arbitrary JavaScript code. This can lead to the execution of malicious scripts in the context of the victim's browser, potentially compromising user sessions, stealing session cookies, redirecting users to malicious websites, or manipulating the DOM.
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 to the end of multipart boundaries. This flaw in the multipart request boundary processing mechanism leads to an infinite loop, resulting in a complete denial of service for all users. Affected endpoints include `/api/v1/login` and `/api/v1/device_authorization`.
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.
A Remote Code Execution (RCE) vulnerability has been identified in the Kedro ShelveStore class (version 0.19.8). This vulnerability allows an attacker to execute arbitrary Python code via deserialization of malicious payloads, potentially leading to a full system compromise. The ShelveStore class uses Python's shelve module to manage session data, which relies on pickle for serialization. Crafting a malicious payload and storing it in the shelve file can lead to RCE when the payload is deserialized.
BentoML version v1.3.4post1 is vulnerable to a Denial of Service (DoS) attack. The vulnerability can be exploited by appending characters, such as dashes (-), to the end of a multipart boundary in an HTTP request. This causes the server to continuously process each character, leading to excessive resource consumption and rendering the service unavailable. The issue is unauthenticated and does not require any user interaction, impacting all users of the service.
vllm-project vllm version 0.6.0 contains a vulnerability in the AsyncEngineRPCServer() RPC server entrypoints. The core functionality run_server_loop() calls the function _make_handler_coro(), which directly uses cloudpickle.loads() on received messages without any sanitization. This can result in remote code execution by deserializing malicious pickle data.
A Denial of Service (DoS) vulnerability in the file upload feature of stangirard/quivr v0.0.298 allows unauthenticated attackers to cause excessive resource consumption by appending characters to the end of a multipart boundary in an HTTP request. This leads to the server continuously processing each character, rendering the service unavailable and impacting all users.
A deserialization vulnerability exists in BentoML's runner server in bentoml/bentoml versions <=1.3.4.post1. By setting specific parameters, an attacker can execute unauthorized arbitrary code on the server, causing severe harm. The vulnerability is triggered when the args-number parameter is greater than 1, leading to automatic deserialization and arbitrary code execution.