Autoswagger, a free, open-source tool developed by Intruder AI, automates the detection of broken authorization vulnerabilities in APIs documented using Swagger/OpenAPI specifications. It identifies potentially insecure endpoints by scanning for missing or ineffective authentication mechanisms, including those that might expose sensitive data like Personally Identifiable Information (PII). By simulating requests and analyzing responses, Autoswagger helps security teams pinpoint and address these weaknesses before attackers can exploit them, reducing the risk of API-related data breaches.
Focus on Authorization: Autoswagger specifically targets broken authorization, a common vulnerability in APIs where access controls are not properly implemented, allowing unauthorized access to resources.
Swagger/OpenAPI Integration: The tool leverages Swagger/OpenAPI documentation to discover and analyze API endpoints, making it easy to integrate into existing development workflows.
Automated Scanning: Autoswagger automates the process of identifying potential vulnerabilities, saving time and effort compared to manual testing.
Endpoint Discovery: It scans for API schemas across various formats and locations, identifying endpoints that should be secured.
Vulnerability Detection: The tool sends requests to endpoints using valid parameters from the documentation and flags those that return unexpected success responses (instead of the expected 401/403 errors), indicating authorization bypasses.
Sensitive Data Detection: Autoswagger analyzes successful responses for exposed sensitive information, such as PII, credentials, or internal records.
Brute-force Simulation: It includes a "brute" flag for more advanced use cases, allowing it to simulate bypassing validation checks for specific data formats or values.
Free and Open-Source: Being freely available and open-source, Autoswagger is accessible to a wide range of users, promoting broader security awareness and vulnerability remediation.