The Purple Team Journey: My Cybersecurity Chronicles.

Kape: Kroll Artifact Parser and Extractor. Developed by Eric Zimmerman, is a powerful digital forensic tool designed for rapid collection and analysis of forensic artifacts. It is widely used for incident response, system triage, and forensic investigations. This guide will provide a detailed overview of KAPE, its architecture, capabilities, and usage. 1. Understanding KAPE KAPE operates in two primary phases: Targeting (Collection) : The first step involves using KAPE's Targets to collect forensic data from a system. Targets define the specific artifacts to collect and where to find them. Examples of artifacts include log files, browser history, prefetch files, registry hives, and more. Processing (Parsing) : The second step involves Modules, which process and analyze the collected data. Modules leverage external tools and scripts to parse specific types of artifacts and extract meaningful information. KAPE's modular approach allows investigators to quickly customize workflows...

 The implementation of scientific tools and procedures in criminal investigations is known as forensic science. it requires gathering, preserving, analyzing and presenting evidence in a legal setting.  A wide range of scientific fields, as: - biology  - chemistry  - physics  - toxicology  They are re used by forensic scientists to analyze evidence and give expert testimony. instruments and techniques such as:  - DNA analysis  - Fingerprint Identification - Ballistics - Toxicology  -> Forensic scientists need to guarantee that evidence is gathered, stored and examined in a way that aligns with ethical standards and take precautions against any potential biases that can affect their workd and be conscious of them  Evidence rely on scientific principles: - Biology (bloodstain pattern, DNA ) - Chemistry (toxicology, drug, trace) - Physic (physical, accident reconstruction, ballistics) - Toxicology (lethal or ...

Introduction to RAM Forensics RAM forensics, or memory forensics, focuses on analyzing a computer's volatile memory (RAM) to extract information about what happened on the system during its operation. RAM can provide key insights that aren't available through disk forensics, such as running processes, network activity, malicious code injection, and more. Volatility: is one of the most popular open-source tools used to perform RAM forensics. It is platform-agnostic, supporting Windows, Linux, and macOS memory analysis. Prerequisites Before starting with Volatility, make sure you have the following: Memory Dump (Memory Image): You need a memory dump from the system you want to investigate. There are various tools you can use to capture a RAM image, such as: FTK Imager (Windows) DumpIt (Windows) WinPMem (Windows) LiME (Linux) Volatility Installed: Volatility can be installed using: Python Package: Install via pip i...