CVE-2023-34239 in Gradio
Summary
by MITRE • 06/08/2023
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.
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Analysis
by VulDB Data Team • 07/07/2023
CVE-2023-34239 represents a critical security vulnerability in the Gradio open-source Python library that facilitates machine learning and data science applications. This vulnerability stems from insufficient path filtering mechanisms within the library's file access controls and URL proxy restrictions. The flaw allows unauthorized users to potentially access restricted files and directories on the system where Gradio is deployed, creating a significant attack surface that could be exploited by malicious actors. The vulnerability is particularly concerning given Gradio's widespread use in data science and machine learning environments where sensitive datasets and model files are commonly processed and stored. The lack of proper path validation means that attackers could potentially traverse directories and access files outside of the intended application scope, while the inadequate URL proxy restrictions could enable malicious web requests to be forwarded through the Gradio application. This vulnerability falls under the CWE-22 category for Path Traversal and CWE-918 for Server-Side Request Forgery, both of which are well-established classes of security flaws that have been extensively documented in the cybersecurity community. The ATT&CK framework would classify this vulnerability under T1059 for Command and Scripting Interpreter and potentially T1190 for Exploit Public-Facing Application, as attackers could leverage this flaw to execute unauthorized operations on the underlying system. The vulnerability affects Gradio versions prior to 3.34.0, making it crucial for organizations to assess their current deployments and implement immediate upgrades to mitigate potential exploitation. The absence of known workarounds means that organizations cannot rely on temporary fixes or patches, emphasizing the importance of upgrading to the patched version. This vulnerability particularly impacts environments where Gradio is used in production settings with sensitive data, as it could lead to data breaches, unauthorized access to intellectual property, or compromise of entire machine learning pipelines. The security implications extend beyond simple file access, as successful exploitation could potentially allow attackers to execute arbitrary code on the affected systems, depending on the specific configuration and underlying infrastructure. Organizations should conduct thorough assessments of their Gradio deployments to identify all affected systems and ensure proper patching across their entire infrastructure. The vulnerability highlights the critical importance of proper input validation and access control mechanisms in web applications, particularly those handling sensitive data in machine learning contexts. Given the nature of the flaw, security teams should implement monitoring for suspicious file access patterns and proxy requests that could indicate exploitation attempts. The vulnerability serves as a reminder of the importance of regular security updates and the potential risks associated with open-source dependencies that may not receive immediate security attention from their maintainers.