Malware-Samples

Malware Analysis in the Sandbox: A Practical Approach A sandboxed setup lets researchers study harmful software without risking the real computer or network. By observing what a program does, you can learn its behavior, how it tries to hide, and what files or network endpoints it touches. A calm, repeatable process helps you collect reliable evidence and share findings with teammates. A sandbox is a controlled space. It uses a virtual machine or container, strict network rules, and monitoring tools. The goal is to isolate the malware while capturing enough signals to understand its actions. Before you begin, define a clear scope and keep all activities authorized and documented. ...

Threat Intelligence and Malware Analysis Made Practical Threat intelligence and malware analysis work best when they feel approachable. This article offers a practical path: clear inputs, a light workflow, and bite-sized steps you can reuse. It is designed for teams of any size who want to improve detection, response, and collaboration. Core inputs Indicators of Compromise (IOCs) such as hashes, domains, and file names Tactics, Techniques, and Procedures (TTPs) mapped to MITRE ATT&CK Incident notes and asset inventory for context Open-source feeds and vendor intel for broadened signals Feedback from detections and outcomes to close the loop A practical workflow Collect signals from your security tools and open feeds Enrich with context: asset ownership, network segments, domain reputation Analyze in small steps: static checks (hashes, strings) and light dynamic observations (sandbox results) Act by updating detections, sharing lessons with teammates, and revising intel sources This workflow keeps analysis repeatable. You don’t need every tool to start; you build capabilities over time by adding data sources and refining rules. ...