📖 About this Domain
This domain focuses on the forensic investigation of web-related incidents. It covers the analysis of artifacts from both web servers and client-side browsers to reconstruct events. You will learn to trace attacker activity and user actions through digital evidence left on these systems.
🎓 What You Will Learn
- How to analyze web server logs, such as Apache access logs and IIS logs, to identify malicious requests and attack patterns.
- Techniques for extracting and interpreting forensic artifacts from web browsers, including history, cache, cookies, and session data.
- Methods to identify common web attack vectors like SQL injection (SQLi), cross-site scripting (XSS), and directory traversal from log evidence.
- Procedures for correlating server-side logs with client-side browser data to build a comprehensive timeline of a web incident.
🛠️ Skills You Will Build
- Parsing and filtering large log files using command-line tools to isolate relevant event data.
- Using forensic software to examine browser databases, such as SQLite files, for user activity.
- Reconstructing a user's web browsing session to determine visited sites, search queries, and downloaded files.
- Documenting evidence of web-based intrusions and presenting findings in a forensically sound manner.
💡 Top Tips to Prepare
- Master the common log formats for Apache and IIS servers, including the meaning of each field and HTTP status codes.
- Practice extracting data from browser history files, focusing on the structure of SQLite databases used by modern browsers.
- Learn the specific signatures and patterns of common web attacks as they appear in raw log entries.
- Focus on correlating timestamps between different evidence sources, such as server logs and browser artifacts, to establish a clear event sequence.
📖 About this Domain
This domain covers the foundational principles of digital forensics and the structured investigation process. You will explore the legal frameworks, ethical guidelines, and methodologies that govern the acquisition and analysis of digital evidence.
🎓 What You Will Learn
- Learn the systematic digital forensic investigation process, from initial identification to final reporting.
- Understand critical legal concepts like chain of custody, search warrants, and the rules of evidence.
- Differentiate between volatile and non-volatile data and learn appropriate data acquisition methods.
- Identify the responsibilities of a digital first responder in securing and preserving a digital crime scene.
🛠️ Skills You Will Build
- Properly handle and preserve digital evidence to maintain its forensic integrity and chain of custody.
- Apply standardized forensic methodologies to analyze digital artifacts and case scenarios.
- Develop the ability to create comprehensive forensic documentation and reports for litigation.
- Assess investigative actions against legal and ethical standards for compliance.
💡 Top Tips to Prepare
- Memorize the specific phases of the digital forensic investigation process models.
- Master the concepts of chain of custody, evidence admissibility, and search authority.
- Focus on the order of volatility and the procedures for collecting ephemeral data.
- Use the provided labs and case studies to connect theoretical knowledge to practical application.
📖 About this Domain
This domain establishes the foundational principles of forensic science as they apply to digital evidence. It covers the scientific method, legal considerations, and ethical obligations that underpin all digital forensic investigations.
🎓 What You Will Learn
- The application of the scientific method to digital investigations, including hypothesis formation and testing.
- Core legal concepts such as the rules of evidence, admissibility, and the Fourth Amendment's impact on search and seizure.
- The importance of maintaining a strict chain of custody to ensure evidence integrity from collection to court presentation.
- Ethical guidelines and professional responsibilities for digital forensic examiners, including avoiding bias.
🛠️ Skills You Will Build
- Applying systematic and methodical approaches to digital evidence analysis.
- Documenting the chain of custody for digital artifacts to ensure legal admissibility.
- Evaluating the legal and ethical implications of an investigation's scope and methodology.
- Articulating forensic findings based on verifiable data and established scientific principles.
💡 Top Tips to Prepare
- Master the steps of the scientific method as it applies to a digital forensic context.
- Focus on understanding the legal precedents and rules of evidence, as these are critical for admissibility.
- Drill the concept of chain of custody and be able to identify breaks in the process.
- Differentiate between the requirements for criminal, civil, and administrative investigations.
📖 About this Domain
This domain focuses on the capture, recording, and analysis of network traffic to investigate security incidents. It covers methodologies for examining data from network devices and communication streams. Key concepts include packet analysis, log correlation, and identifying malicious network activity.
🎓 What You Will Learn
- Learn to identify and collect network-based evidence from sources like firewalls, routers, IDS/IPS, and full packet captures (PCAPs).
- Understand the structure and function of common network protocols, including the TCP/IP suite, to detect anomalies.
- Use network forensic tools like Wireshark and tcpdump to perform live traffic acquisition and analyze captured data.
- Learn techniques for investigating wireless network attacks and analyzing wireless traffic.
🛠️ Skills You Will Build
- Analyzing PCAP files to trace network conversations and identify indicators of compromise (IOCs).
- Correlating log data from multiple network devices to reconstruct an attack timeline.
- Using Wireshark filters to isolate and examine specific types of malicious traffic, such as C2 communications.
- Extracting files and other artifacts directly from captured network packet data.
💡 Top Tips to Prepare
- Get extensive hands-on practice with Wireshark; master display filters and the 'Follow TCP Stream' function.
- Memorize the OSI model and the standard port numbers for common protocols like HTTP, DNS, and FTP.
- Download and analyze sample PCAP files containing malware traffic to build practical analysis skills.
- Understand the typical log formats for firewalls, web proxies, and intrusion detection systems.
📖 About this Domain
This domain focuses on the forensic examination of operating systems to uncover digital evidence. You will analyze the file systems, system artifacts, and memory of Windows, Linux, and macOS environments. The core objective is to reconstruct user activity and system events from collected data.
🎓 What You Will Learn
- How to analyze the Windows Registry, including hives like SAM, SYSTEM, and NTUSER.DAT, for user and system information.
- Techniques for examining Linux file systems like ext4, including parsing logs such as syslog and bash_history.
- Methods for investigating macOS artifacts, focusing on Plist files, the Unified Log, and the Apple File System (APFS).
- The structure of core file system components like the Master File Table (MFT) in NTFS and inodes in Unix-like systems.
🛠️ Skills You Will Build
- Conducting live and dead box forensic analysis to acquire volatile and non-volatile data from target systems.
- Using forensic suites like Autopsy or FTK Imager to mount disk images and parse file system structures.
- Performing timeline analysis by correlating timestamps from file metadata, logs, and other system artifacts.
- Identifying malware persistence mechanisms by examining registry run keys, scheduled tasks, and system services.
💡 Top Tips to Prepare
- Master the key Windows Registry paths for evidence of execution, file access, and user accounts.
- Practice command-line forensics in a Linux environment to become proficient with tools like grep, strings, and the Sleuth Kit.
- Understand the fundamental differences in how Windows, Linux, and macOS handle file metadata and logging.
- Focus on interpreting log data, such as Windows Event Logs (EVTX), to build a coherent narrative of an incident.
📖 About this Domain
This domain covers anti-forensic techniques used by threat actors to obstruct digital investigations. You will learn to identify methods designed to hide, alter, or destroy digital evidence. The focus is on developing countermeasures to ensure evidence integrity and successful data recovery.
🎓 What You Will Learn
- Identify various anti-forensic categories, including data hiding, artifact wiping, and trail obfuscation.
- Analyze specific techniques such as steganography, encryption, Alternate Data Streams (ADS), and data destruction utilities.
- Understand methods for detecting file signature mismatches and anomalies in file system metadata.
- Learn countermeasures and forensic tool configurations to bypass or defeat common anti-forensic tactics.
🛠️ Skills You Will Build
- Proficiency in using forensic suites to detect hidden data within slack space, unallocated clusters, and ADS.
- The ability to analyze and identify the use of encryption and steganographic tools on a compromised system.
- Competence in data carving techniques to recover files that have been intentionally deleted or obfuscated.
- Skill in documenting the discovery of anti-forensic measures for inclusion in a formal forensic report.
💡 Top Tips to Prepare
- Master the concepts of steganography and Alternate Data Streams (ADS) as they are common data hiding methods.
- Gain hands-on experience with tools like FTK Imager and Autopsy to locate and analyze hidden or altered artifacts.
- Focus on understanding file system structures and how they can be manipulated to conceal data from investigators.
- Review the principles of cryptography and password cracking techniques used to access encrypted evidence.
📖 About this Domain
This domain focuses on the principles and methodologies for conducting forensic examinations of mobile devices like smartphones and tablets. It covers the entire process from seizure and acquisition to the analysis of data from operating systems such as Android and iOS. The content emphasizes the unique challenges presented by mobile hardware, software, and security features.
🎓 What You Will Learn
- Differentiate between mobile acquisition techniques, including logical, file system, and physical extractions.
- Identify critical evidentiary artifacts within mobile operating systems, such as call logs, SQLite databases, and property list (plist) files.
- Understand the file system structures of major mobile platforms like Android and iOS to locate user-generated data.
- Recognize the challenges in mobile forensics, including device encryption, passcodes, and cloud-based data synchronization.
🛠️ Skills You Will Build
- Performing forensically sound data acquisitions from mobile devices using specialized tools and techniques.
- Analyzing extracted mobile data to reconstruct timelines, communications, and user activities.
- Bypassing basic mobile device security measures in a controlled, forensic environment.
- Documenting and reporting findings from a mobile device examination in a legally defensible manner.
💡 Top Tips to Prepare
- Memorize the key differences in file system architecture and artifact locations between Android and iOS.
- Focus on understanding the hierarchy of acquisition methods, from logical (least invasive) to physical (most comprehensive).
- Practice identifying data stored in common file types found on mobile devices, especially SQLite databases.
- Review the capabilities of industry-standard mobile forensic tools like Cellebrite UFED and Magnet AXIOM as discussed in the material.
📖 About this Domain
This domain focuses on the foundational process of creating a forensically sound copy of digital evidence. It covers the methodologies for acquiring data from storage media without altering the original source, ensuring evidence integrity.
🎓 What You Will Learn
- You will learn the difference between physical (bit-stream) and logical acquisition methods and when to apply each technique.
- You will understand the critical role of hardware and software write-blockers in preventing data modification during the acquisition process.
- You will learn to use hashing algorithms like MD5 and SHA-256 to create a digital fingerprint of evidence for integrity verification.
- You will differentiate between static (dead box) and live acquisition, recognizing the challenges of capturing volatile data from a running system.
🛠️ Skills You Will Build
- You will build proficiency in using forensic imaging tools like dd, FTK Imager, and EnCase to create disk images.
- You will develop the skill of verifying the integrity of a forensic duplicate by comparing source and destination hash values.
- You will master proper evidence handling procedures to maintain a verifiable chain of custody during data acquisition.
- You will build the ability to select the correct acquisition method based on the type of media and the state of the system.
💡 Top Tips to Prepare
- Memorize the purpose and function of hashing; understand that a matching hash proves the forensic image is an exact duplicate.
- Practice using a command-line tool like 'dd' in a lab environment to understand the fundamentals of bit-stream imaging.
- Clearly distinguish between a simple file copy and a forensic image, focusing on the capture of unallocated space and file slack.
- Understand why a write-blocker is non-negotiable for static acquisition to ensure the source evidence remains pristine.
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