The Target and Threat Context
During my recent engagement with a client utilizing a modern tech stack for their web services, I discovered an alarming vulnerability in their RESTful API built using Node.js and Express, with MongoDB as the backend database. The application is hosted on AWS, employing various microservices to handle user data and transactions. Given the sensitivity of the information processed, including personal details and payment data, the stakes were incredibly high; a breach could result in severe reputational damage and regulatory repercussions.
As I familiarized myself with the architecture, I was particularly drawn to the functionality that allowed users to upload configuration files for personalized settings. This feature relied heavily on serialization and deserialization processes, which immediately raised a red flag for me. The client's business model hinged on providing tailored experiences for their users, making any compromise on data integrity particularly dangerous.
I began my assessment focusing on how the API handled the deserialized input from user-uploaded files, suspecting that the lack of proper validation might expose the system to various attacks. Understanding that deserialization vulnerabilities could lead to remote code execution or unauthorized access, I prioritized this area for testing.