CVE-2024-6250 Scanner

LOLLMS WebUI is a software application that acts as an interface for managing machine learning models, often used by data scientists and AI researchers to streamline their workflows. It is typically employed in environments where large datasets are handled, and there is a need for efficient model training and evaluation processes. The application caters to industries involved in AI development, offering features that support various machine learning tasks and integrations. Its users primarily include research institutions, tech companies, and individual developers who seek a robust platform for running machine learning experiments. By providing a cohesive interface, LOLLMS WebUI simplifies the complexities associated with running large-scale ML models and helps in efficient data processing. Its modular architecture supports various use cases in machine learning, from data preprocessing to model deployment.

The vulnerability in question is an Arbitrary File Read, more specifically categorized as an Absolute Path Traversal. This vulnerability occurs when the application's sanitize_path function in the lollms_advanced.py script, due to improper configuration, permits reading of arbitrary files. Because of this, attackers can leverage the open_file endpoint to access sensitive files on a Windows system. Path traversal vulnerabilities are critical, especially in systems handling sensitive data, as they may lead to unintended data exposure. By allowing absolute paths, the system inadvertently gives access to any file within the permitted file directories. This specific vulnerability can potentially open doors for further malicious activities, exploiting the data exposed through successful path traversal attacks.

From a technical standpoint, the vulnerability arises due to the allow_absolute_path=True parameter, which when set, bypasses restrictions against reading system files. Targeting the open_file endpoint of lollms_advanced.py, attackers send crafted requests to navigate the file system. Affected requests typically include absolute paths like C:/Windows/win.ini, which can successfully read sensitive files. The application, upon receiving such requests, returns file content as it fails to adequately check against unauthorized accesses. This pivotal weakness can be strategically exploited if security patches or updates are not prioritized by the users. Such flaws often stem from lapses in secure coding practices and insufficient validation checks.

The primary effect of exploiting this vulnerability includes potential unauthorized access to sensitive system files, leading to information disclosure. Once attackers can access arbitrary files, there is a risk of escalating privileges by sourcing confidential configuration files or other data that might assist in further compromises. Systems that fall victim to such attacks may notice anomalous access patterns or unexpected processes initiated by unauthenticated users. Ultimately, this vulnerability could serve as a precursor to larger-scale attacks targeting data confidentiality and system integrity. Organizations using LOLLMS WebUI must regard this with critical importance to prevent infiltration and data breaches.

REFERENCES

• https://huntr.com/bounties/11a8bf9d-16f3-49b3-b5fc-ad36d8993c73
• https://nvd.nist.gov/vuln/detail/CVE-2024-6250
• https://github.com/parisneo/lollms-webui