Gradio Project: >> Gradio >> 0.5.0 Security Vulnerabilities
Gradio is an open-source Python package designed for quick prototyping. This vulnerability relates to the **bypass of directory traversal checks** within the `is_in_or_equal` function. This function, intended to check if a file resides within a given directory, can be bypassed with certain payloads that manipulate file paths using `..` (parent directory) sequences. Attackers could potentially access restricted files if they are able to exploit this flaw, although the difficulty is high. This primarily impacts users relying on Gradio’s blocklist or directory access validation, particularly when handling file uploads. Users are advised to upgrade to `gradio>=5.0` to address this issue. As a workaround, users can manually sanitize and normalize file paths in their Gradio deployment before passing them to the `is_in_or_equal` function. Ensuring that all file paths are properly resolved and absolute can help mitigate the bypass vulnerabilities caused by the improper handling of `..` sequences or malformed paths.
CVSS Score
6.5
EPSS Score
0.002
Published
2024-10-10
Gradio is an open-source Python package designed for quick prototyping. This vulnerability relates to **CORS origin validation accepting a null origin**. When a Gradio server is deployed locally, the `localhost_aliases` variable includes "null" as a valid origin. This allows attackers to make unauthorized requests from sandboxed iframes or other sources with a null origin, potentially leading to data theft, such as user authentication tokens or uploaded files. This impacts users running Gradio locally, especially those using basic authentication. Users are advised to upgrade to `gradio>=5.0` to address this issue. As a workaround, users can manually modify the `localhost_aliases` list in their local Gradio deployment to exclude "null" as a valid origin. By removing this value, the Gradio server will no longer accept requests from sandboxed iframes or sources with a null origin, mitigating the potential for exploitation.
CVSS Score
5.4
EPSS Score
0.001
Published
2024-10-10
Gradio is an open-source Python package designed for quick prototyping. This vulnerability involves a **one-level read path traversal** in the `/custom_component` endpoint. Attackers can exploit this flaw to access and leak source code from custom Gradio components by manipulating the file path in the request. Although the traversal is limited to a single directory level, it could expose proprietary or sensitive code that developers intended to keep private. This impacts users who have developed custom Gradio components and are hosting them on publicly accessible servers. Users are advised to upgrade to `gradio>=4.44` to address this issue. As a workaround, developers can sanitize the file paths and ensure that components are not stored in publicly accessible directories.
CVSS Score
5.3
EPSS Score
0.002
Published
2024-10-10
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. The vulnerability arises when the `path` value, obtained from the user and expected to be a URL, is used to make an HTTP request without sufficient validation checks. This flaw allows an attacker to send crafted requests that could lead to unauthorized access to the local network or the AWS metadata endpoint, thereby compromising the security of internal servers.
CVSS Score
8.6
EPSS Score
0.428
Published
2024-06-06
A local file inclusion vulnerability exists in the JSON component of gradio-app/gradio version 4.25. The vulnerability arises from improper input validation in the `postprocess()` function within `gradio/components/json_component.py`, where a user-controlled string is parsed as JSON. If the parsed JSON object contains a `path` key, the specified file is moved to a temporary directory, making it possible to retrieve it later via the `/file=..` endpoint. This issue is due to the `processing_utils.move_files_to_cache()` function traversing any object passed to it, looking for a dictionary with a `path` key, and then copying the specified file to a temporary directory. The vulnerability can be exploited by an attacker to read files on the remote system, posing a significant security risk.
CVSS Score
7.5
EPSS Score
0.005
Published
2024-06-06
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. Versions of `gradio` prior to 4.11.0 contained a vulnerability in the `/file` route which made them susceptible to file traversal attacks in which an attacker could access arbitrary files on a machine running a Gradio app with a public URL (e.g. if the demo was created with `share=True`, or on Hugging Face Spaces) if they knew the path of files to look for. This issue has been patched in version 4.11.0.
CVSS Score
5.6
EPSS Score
0.796
Published
2023-12-22
Command Injection in GitHub repository gradio-app/gradio prior to main.
CVSS Score
9.6
EPSS Score
0.017
Published
2023-12-14
Gradio is an open-source Python library that is used to build machine learning and data science. Due to a lack of path filtering Gradio does not properly restrict file access to users. Additionally Gradio does not properly restrict the what URLs are proxied. These issues have been addressed in version 3.34.0. Users are advised to upgrade. There are no known workarounds for this vulnerability.
CVSS Score
7.3
EPSS Score
0.002
Published
2023-06-08
Gradio is an open-source Python library to build machine learning and data science demos and web applications. Versions prior to 3.13.1 contain Use of Hard-coded Credentials. When using Gradio's share links (i.e. creating a Gradio app and then setting `share=True`), a private SSH key is sent to any user that connects to the Gradio machine, which means that a user could access other users' shared Gradio demos. From there, other exploits are possible depending on the level of access/exposure the Gradio app provides. This issue is patched in version 3.13.1, however, users are recommended to update to 3.19.1 or later where the FRP solution has been properly tested.
CVSS Score
5.4
EPSS Score
0.001
Published
2023-02-23
`gradio` is an open source framework for building interactive machine learning models and demos. Prior to version 2.8.11, `gradio` suffers from Improper Neutralization of Formula Elements in a CSV File. The `gradio` library has a flagging functionality which saves input/output data into a CSV file on the developer's computer. This can allow a user to save arbitrary text into the CSV file, such as commands. If a program like MS Excel opens such a file, then it automatically runs these commands, which could lead to arbitrary commands running on the user's computer. The problem has been patched as of `2.8.11`, which escapes the saved csv with single quotes. As a workaround, avoid opening csv files generated by `gradio` with Excel or similar spreadsheet programs.
CVSS Score
8.8
EPSS Score
0.006
Published
2022-03-17