AI Sec Watch

CVE-2024-8966 is a vulnerability in Gradio version @gradio/video@0.10.2 that allows attackers to cause a Denial of Service (DoS, when a system becomes unavailable to users) by uploading files with extremely long multipart boundaries (the separators in file upload data). The attack forces the system to continuously process characters and issue warnings, making Gradio inaccessible for extended periods.

MLflow version 2.15.1 has a path traversal vulnerability (a security flaw where attackers can access files outside intended directories) in its dbfs service that allows arbitrary file reading. The vulnerability exists because the service only validates the path portion of URLs while ignoring query parameters and other URL components, which attackers can exploit if the dbfs service is configured and mounted to a local directory.

A divide by zero vulnerability (a math error where code tries to divide a number by zero, crashing the program) exists in ollama version v0.3.3 that triggers when importing GGUF models (a machine learning model format) with a specially crafted `block_count` value in the Modelfile. This vulnerability can cause a denial of service (DoS, making the server unavailable) by crashing the ollama server when it processes the malicious model.

CVE-2024-8021 is an open redirect vulnerability (a flaw that tricks users into visiting attacker-controlled websites by misusing URL encoding) in the latest version of Gradio, an open-source AI framework. An attacker can exploit this by sending a specially crafted request that causes the application to automatically redirect users (HTTP 302 response) to a malicious site.

The `/openai/models` endpoint in open-webui version 0.3.8 has a Server-Side Request Forgery vulnerability (SSRF, a flaw where an attacker tricks a server into making requests to unintended locations). An attacker can change the OpenAI URL to any address without validation, allowing the endpoint to send requests to that URL and return the response, potentially exposing internal services and secrets.

CVE-2024-7776 is a vulnerability in the ONNX framework (a tool for machine learning models) version 1.16.1 and earlier, where the `download_model` function fails to properly block path traversal attacks (a technique where attackers use special file path sequences to access files outside the intended directory). An attacker could exploit this to overwrite files on a user's system, potentially leading to remote code execution (running malicious commands on the victim's computer).

MLflow version v2.13.2 has a vulnerability that allows someone to create or rename an experiment with an extremely long name containing many numbers, which causes the MLflow UI (user interface panel) to stop responding, creating a denial of service (when a system becomes unusable). The problem exists because there are no limits on how long experiment names or the artifact_location parameter can be.

CVE-2024-6577 is a vulnerability in PyTorch Serve where a script called 'upload_results_to_s3.sh' references an Amazon S3 bucket (a cloud storage service) without verifying that the script's creators actually own or control it, potentially allowing unauthorized access to sensitive data stored in that bucket.

Dify version 0.10.1 contains a Server-Side Request Forgery (SSRF) vulnerability, which is a weakness where an attacker tricks a server into making requests to unintended targets. Through the 'Create Custom Tool' REST API endpoint, attackers can manipulate the URL parameter to make the victim's server access unauthorized web resources using the server's own credentials.