CVE-2024-6842 Scanner

AnythingLLM is a language model management tool commonly used by developers and companies to manage AI models and streamline the implementation of large language models (LLMs) in various applications. It allows seamless integration of AI-powered functions and is used across industries for automation, research, and data analysis. The platform offers flexibility with multiple API options for AI integrations. By handling sensitive configurations, the software is vital in the AI deployment process. Protecting this software from vulnerabilities is critical to maintaining the security of sensitive user data.

The vulnerability allows unauthorized access to the /api/setup-complete endpoint of the AnythingLLM application. By exploiting this vulnerability, attackers can view sensitive configuration details, including API keys and tokens. The issue arises due to improper protection of sensitive configuration data. Attackers do not need authentication to exploit this weakness, making the vulnerability highly critical.

The vulnerability resides in the /api/setup-complete API endpoint of AnythingLLM. When accessed by an unauthenticated user, this endpoint reveals sensitive information such as API keys, search engine credentials, and authentication tokens. The system does not properly restrict access to this endpoint, allowing attackers to retrieve sensitive data with ease. The response header shows an application/json content type, and the status code of 200 confirms successful access. The parameters exposed include Google and Bing search API keys, which can lead to significant security breaches.

Exploiting this vulnerability could allow attackers to gain unauthorized access to sensitive system configurations, including API keys and tokens. This could result in unauthorized access to connected services, including search engine integrations or other AI services, leading to information leaks. Attackers could use this information to compromise the integrity and confidentiality of the system, allowing them to perform further attacks or unauthorized actions on the affected system.

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References:

• https://huntr.com/bounties/cd911fc7-ac6b-4974-acd0-9cc926fa8d9e
• https://nvd.nist.gov/vuln/detail/CVE-2024-6842