AI Sec Watch

CVE-2024-49361 is a vulnerability in ACON, a machine learning library that performs adaptive correlation optimization. The vulnerability exists in how ACON validates input data, which could allow an attacker to bypass these checks and execute arbitrary code (run commands they shouldn't be able to run) on systems using ACON. Machine learning applications that accept user-provided data are at the highest risk, especially those running on production servers (live systems serving real users).

Gradio, an open-source Python package for building user interfaces, has a cross-site scripting vulnerability (XSS, where malicious code hidden in files runs in users' browsers) that affects servers allowing file uploads. Attackers can upload harmful HTML, JavaScript, or SVG files that execute when other users view or download them, potentially stealing data or compromising accounts.

Gradio, an open-source Python package for building demos, has a vulnerability where the connection between the FRP client and server (fast reverse proxy, a tool that exposes local applications to the internet) isn't encrypted when the `share=True` option is used. This means attackers can intercept and read files uploaded to the server or modify data being sent, putting sensitive information at risk for users sharing Gradio demos publicly online.

Gradio, an open-source Python package for building AI demos, has a race condition (a bug where two operations interfere with each other due to timing) in its configuration function that lets attackers change the backend URL. This could redirect users to a fake server to steal login credentials or uploaded files, especially affecting Gradio servers accessible over the internet.

Gradio, an open-source Python package for building prototypes, has a timing attack vulnerability (a security flaw where an attacker measures how long the system takes to respond to guess different values) in its analytics dashboard hash comparison. An attacker could exploit this by sending many requests and timing the responses to gradually figure out the correct hash and gain unauthorized access to the dashboard.

CVE-2024-47868 is a data validation vulnerability (a flaw in how input data is checked) in Gradio, an open-source Python package for building AI demos. Attackers can exploit certain Gradio components by sending specially crafted requests that bypass input checks, allowing them to read and download sensitive files from a server that shouldn't be accessible. This risk is especially high for components that handle file data, like DownloadButton, Audio, ImageEditor, Chatbot, and others.

Gradio, an open-source Python package for prototyping, has a vulnerability where it downloads an FRP client (a tool for secure data tunneling) without checking if the file has been tampered with. An attacker who controls the download server could replace the legitimate FRP client with malicious code, and Gradio wouldn't detect this because it doesn't verify the file's checksum (a unique fingerprint) or signature (a digital seal of authenticity).

Gradio, an open-source Python package for building AI interfaces quickly, has a vulnerability where the enable_monitoring flag doesn't actually disable monitoring as intended. Even when a developer sets enable_monitoring=False to turn off monitoring, an attacker can still access sensitive analytics by directly requesting the /monitoring endpoint (a specific web address). This puts applications at risk of exposing data that was supposed to be hidden.

Gradio, an open-source Python package for building AI demos, has a vulnerability called SSRF (server-side request forgery, where an attacker tricks a server into making requests to URLs the attacker chooses) in its `/queue/join` endpoint. Attackers can exploit this to force the Gradio server to request internal or local network addresses, potentially stealing data or uploading malicious files, especially affecting applications using the Video component. Users should upgrade to Gradio version 5 or later to fix this issue.