Current - Issue

Cybersecurity threats have grown more complex in the current digital era, focusing on consumers through malicious files, risky downloads, and dangerous URLs. Unknowingly downloading infected files can result in data breaches, system compromise, and financial loss for many people. ThreatShield-AI, an intelligent malware detection and alarm system created to proactively protect users before dangerous content reaches their devices, is presented in this project as a solution to this problem. This system's main goal is to offer a safe environment where users may examine files and URLs before downloading them. ThreatShield-AI offers a preventive strategy by inspecting content at the server level, in contrast to conventional antivirus programs that function after files are downloaded. This guarantees that potentially dangerous files are prevented from being viewed by the user. A Flask-based backend, a React-based frontend, and Firebase services for database storage, authentication, and real-time communication make up the system's contemporary technology stack. The system allows users to upload files or enter URLs, which are subsequently examined by the backend. The system detects malicious patterns, such as known malware signatures or suspicious content indicators, using heuristic-based detection techniques. When the system detects a threat, it instantly stops the download and sends out alerts in real time. These alerts are distributed via a variety of channels, such as webhooks, email alerts, and push notifications, guaranteeing that users are promptly informed regardless of their platform. The system also keeps track of user activity and threat logs in a central database, which allows for interactive dashboard monitoring and analysis.