CVE-2024-1728 Scanner

Gradio is a tool often used by machine learning developers and researchers to rapidly create, deploy, and share their demonstrations and interfaces. It is widely implemented in academic research settings and by organizations engaged in artificial intelligence projects to facilitate user interaction with AI models. The software is intended for integration into systems enabling various input and output modalities, expanding its usability scope across multiple applications. Organizations use Gradio to allow non-technical users to access complex AI models through interactive browser-based interfaces. Its simplicity and flexibility make it attractive for quick prototyping and collaboration in diverse AI applications. The software emphasizes ease of deployment, which makes it a popular choice for institutions wishing to present AI tools without extensive backend adjustments.

The Path Traversal vulnerability in Gradio is a significant security concern, allowing unauthorized access to the file system's contents. This vulnerability arises from improper validation of user inputs, particularly in the component responsible for handling file uploads. When exploited, it enables attackers to manipulate file paths to access sensitive files outside the designated directory. The potential to read arbitrary files encourages further exploits, including accessing confidential data or gaining insights necessary for conducting larger attacks. It represents a critical oversight in managing user-controlled inputs, underscoring the need for strict input validation measures. Such vulnerabilities open doors to broader systemic risks, given how they might facilitate further attacks into internal network architectures.

Technically, this vulnerability can be exploited by modifying the file path parameters submitted through the UploadButton component. Attackers target the `/queue/join` endpoint, using path manipulation to traverse directories and access sensitive files. The lack of constraints on input paths permits attackers to bypass intended access controls and interrogate system directories. Additionally, the vulnerability could potentially lead to remote code execution if attackers manage to write and execute malicious scripts within the server environment. This issue is exacerbated when attackers manage to employ commonly misconfigured paths, exploiting known weaknesses in directory handling. The fundamental flaw lies in the assumptions made regarding filepath settings which lack sufficient sanitization measures to prevent directory traversal attacks.

If exploited, the effects of this vulnerability can be far-reaching. Attackers could potentially access confidential files such as SSH keys, configuration files, or user databases. Unauthorized access to these data sets could lead to further intrusions, data theft, or network compromise, with severe implications for privacy and security. Furthermore, if these files contain sensitive or critical operational data, it may lead to service disruptions, reputational damage, or financial losses. Unauthorized file access might also present opportunities to plant malicious code, expanding an attacker's foothold within a system. Therefore, addressing the consequences of such file disclosures becomes not just about immediate access but an ongoing threat of broader system exploitation.

REFERENCES

• https://github.com/gradio-app/gradio/commit/16fbe9cd0cffa9f2a824a0165beb43446114eec7
• https://huntr.com/bounties/9bb33b71-7995-425d-91cc-2c2a2f2a068a
• https://nvd.nist.gov/vuln/detail/CVE-2024-1728