Gradio v4.36.1 was discovered to contain a code injection vulnerability via the component /gradio/component_meta.py. This vulnerability is triggered via a crafted input.
An open redirect vulnerability exists in the gradio-app/gradio, affecting the latest version. The vulnerability allows an attacker to redirect users to arbitrary websites, which can be exploited for phishing attacks, Cross-site Scripting (XSS), Server-Side Request Forgery (SSRF), amongst others. This issue is due to improper validation of user-supplied input in the handling of URLs. Attackers can exploit this vulnerability by crafting a malicious URL that, when processed by the application, …
A Server-Side Request Forgery (SSRF) vulnerability exists in the gradio-app/gradio and was discovered in 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 …
A local file inclusion vulnerability exists in the JSON component of gradio-app/gradio and was discovered in 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 …
Component Server in Gradio before 4.13 does not properly consider _is_server_fn for functions.
An issue was discovered in gradio-app/gradio, where the /component_server endpoint improperly allows the invocation of any method on a Component class with attacker-controlled arguments. Specifically, by exploiting the move_resource_to_block_cache() method of the Block class, an attacker can copy any file on the filesystem to a temporary directory and subsequently retrieve it. This vulnerability enables unauthorized local file read access, posing a significant risk especially when the application is exposed to …
An SSRF (Server-Side Request Forgery) vulnerability exists in the gradio-app/gradio repository, allowing attackers to scan and identify open ports within an internal network. By manipulating the 'file' parameter in a GET request, an attacker can discern the status of internal ports based on the presence of a 'Location' header or a 'File not allowed' error in the response.
gradio-app/gradio is vulnerable to a local file inclusion vulnerability due to improper validation of user-supplied input in the UploadButton component. Attackers can exploit this vulnerability to read arbitrary files on the filesystem, such as private SSH keys, by manipulating the file path in the request to the /queue/join endpoint. This issue could potentially lead to remote code execution. The vulnerability is present in the handling of file upload paths, allowing …
Previously, it was possible to exfiltrate secrets in Gradio's CI, but this is now fixed.
The /proxy route allows a user to proxy arbitrary urls including potential internal endpoints.
A Cross-Site Request Forgery gives attackers the ability to upload many large files to a victim, if they are running Gradio locally. To resolve this a PR tightening the CORS rules around Gradio applications has been submitted. In particular, it checks to see if the host header is localhost (or one of its aliases) and if so, it requires the origin header (if present) to be localhost (or one of …
Impact This security policy is with regards to a timing attack that allows users of Gradio apps to potentially guess the password of password-protected Gradio apps. This relies on the fact that string comparisons in Python terminate early, as soon as there is a string mismatch. Because Gradio apps are, by default, not rate-limited, a user could brute-force millions of guesses to figure out the correct username and password. Patches …
A local file include could be remotely triggered in Gradio due to a vulnerable user-supplied JSON value in an API request.
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 …
Exposure of Sensitive Information to an Unauthorized Actor in GitHub repository gradio-app/gradio prior to main.
Gradio v3.27.0 was discovered to contain an arbitrary file upload vulnerability via the /upload interface.
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.
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 …
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 …
Gradio is an open source framework for building interactive machine learning models and demos. there is a vulnerability that affects anyone who creates and publicly shares Gradio interfaces. File paths are not restricted and users who receive a Gradio link can access any files on the host computer if they know the file names or file paths. This is limited only by the host operating system. Paths are opened in …