Prepare for the GIAC Certified Forensic Analyst (GCFA) certification by GIAC with free exam-style practice questions on CyberCertPrep. The GCFA exam has 82 questions, a time limit of GCFA hours, and a passing score of 73%.
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GIAC Certified Forensic Analyst (GCFA) Exam Domain
Focus your study on this domain with targeted practice questions. This domain accounts for 25% of your GCFA exam score.
The Anti-Forensics Detection domain is one of 4 exam domains on the GIAC Certified Forensic Analyst (GCFA) certification exam by GIAC. At 25% of the total exam, this is one of the most heavily weighted domains — mastering it is critical for passing.
The GCFA exam consists of 82 questions with a time limit of 5 hours and a passing score of 73%. That means approximately 21 questions on your exam will come from the Anti-Forensics Detection domain.
IDS (Intrusion Detection System)
A device or software application that monitors a network or systems for malicious activity or policy violations and gene...
IPS (Intrusion Prevention System)
A network security tool that monitors network traffic flows to detect and actively prevent identified threats in real ti...
Ransomware
A type of malware that encrypts a victim's files or locks system access and demands a ransom payment (typically in crypt...
Zero-Day Exploit
An attack that targets a previously unknown vulnerability in software, hardware, or firmware before the vendor has relea...
Rootkit
A collection of software tools that enables unauthorized access to a computer while actively hiding its presence from th...
Spear Phishing
A targeted phishing attack directed at a specific individual, organization, or role using personalized information gathe...
Incident Response
The organized approach to addressing and managing the aftermath of a security breach or cyberattack with the goal of lim...
CASB (Cloud Access Security Broker)
A security policy enforcement point placed between cloud service consumers and cloud service providers to monitor activi...
These certifications also cover topics related to Anti-Forensics Detection: