Ollama Insecure Authorization Scanner

The scanner is designed specifically for detecting vulnerabilities in Ollama's API, a platform utilized by AI model developers and organizations utilizing artificial intelligence capabilities. Ollama is often implemented in environments where AI models are created, trained, and deployed for various applications. Vulnerabilities in its authorization system could affect diverse sectors relying on AI, including tech startups, research institutions, and enterprise-level AI departments.

The vulnerability tackled with this scanner involves insecure authorization processes in the Ollama platform. When the API endpoints are not properly secured, unauthorized access becomes possible, which can allow threat actors to interact with AI models without sufficient permissions. The exposure of API in this manner might result in potentially harmful actions or unauthorized data access.

Technical details reveal that the vulnerability is characterized by an open API endpoint that does not adequately restrict access by unauthorized users. Specifically, the example points to a URL path '/api/tags,' which, when accessed via a GET request without proper authorization measures, can return sensitive information about AI models. The endpoint's response contains models, modified timestamps, digests, and size information, potentially exposing configuration and operational details to unauthorized entities.

Possibly exploited, the vulnerability could lead to unauthorized manipulations in AI model configurations and operations, data leaks of sensitive AI model information, and improper usage of AI resources. Businesses relying heavily on AI could face severe impacts on their proprietary models and competitive position. It's crucial to address this vulnerability to prevent misuse and data breaches.

REFERENCES

• https://ollama.ai/
• https://github.com/ollama/ollama