Vulnerabilities > Gradio Project > Gradio > 2.4.7
DATE | CVE | VULNERABILITY TITLE | RISK |
---|---|---|---|
2024-10-10 | CVE-2024-47167 | Server-Side Request Forgery (SSRF) vulnerability in Gradio Project Gradio Gradio is an open-source Python package designed for quick prototyping. | 9.8 |
2024-10-10 | CVE-2024-47168 | Always-Incorrect Control Flow Implementation vulnerability in Gradio Project Gradio Gradio is an open-source Python package designed for quick prototyping. | 4.3 |
2024-06-06 | CVE-2024-4325 | Unspecified vulnerability in Gradio Project Gradio A Server-Side Request Forgery (SSRF) vulnerability exists in the gradio-app/gradio version 4.21.0, specifically within the `/queue/join` endpoint and the `save_url_to_cache` function. | 8.6 |
2024-06-06 | CVE-2024-4941 | Unspecified vulnerability in Gradio Project Gradio A local file inclusion vulnerability exists in the JSON component of gradio-app/gradio version 4.25. | 7.5 |
2023-12-22 | CVE-2023-51449 | Unspecified vulnerability in Gradio Project Gradio Gradio is an open-source Python package that allows you to quickly build a demo or web application for your machine learning model, API, or any arbitary Python function. | 7.5 |
2023-12-14 | CVE-2023-6572 | Unspecified vulnerability in Gradio Project Gradio Command Injection in GitHub repository gradio-app/gradio prior to main. | 8.1 |
2023-06-08 | CVE-2023-34239 | Unspecified vulnerability in Gradio Project Gradio Gradio is an open-source Python library that is used to build machine learning and data science. | 9.1 |
2023-02-23 | CVE-2023-25823 | Use of Hard-coded Credentials vulnerability in Gradio Project Gradio Gradio is an open-source Python library to build machine learning and data science demos and web applications. | 9.8 |
2022-03-17 | CVE-2022-24770 | Unspecified vulnerability in Gradio Project Gradio `gradio` is an open source framework for building interactive machine learning models and demos. | 8.8 |
2021-12-15 | CVE-2021-43831 | Path Traversal vulnerability in Gradio Project Gradio Gradio is an open source framework for building interactive machine learning models and demos. | 7.7 |