Struggling to choose between X-Ray and FAME Automates Malware Evaluation? Both products offer unique advantages, making it a tough decision.
X-Ray is a Development solution with tags like screenshot, javascript, mapping, visualization.
It boasts features such as Visualize frontend JavaScript frameworks and backend API endpoints, Explore internal web application structures without access to source code, Take screenshots of application structure, Analyze dependencies and data flow and pros including Open-source and free to use, Provides valuable insights into web application architecture, Helps understand complex applications without access to source code, Supports a wide range of frontend and backend technologies.
On the other hand, FAME Automates Malware Evaluation is a Security & Privacy product tagged with malware, analysis, detection, open-source.
Its standout features include Static analysis of files, Dynamic analysis in instrumented environments, Extraction of useful information like network behavior, changed files, etc., Detection of malware attributes using machine learning, Integration with other systems via API, Web UI for submission, analysis and visualization, and it shines with pros like Automated analysis reduces manual work, Scales to handle large volumes of malware samples, Open source allows customization as needed, Machine learning provides quick detection of malware attributes.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
X-Ray is an open-source desktop application that allows users to explore and take screenshots of internal web application structures without having access to the source code. It maps out frontend JavaScript frameworks and backend API endpoints to visualize dependencies and data flow.
FAME Automates Malware Evaluation is an open source malware analysis system that automatically analyzes submitted files and extracts useful information. It uses machine learning and other techniques to detect malware attributes quickly and efficiently.