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ECCouncil 312-50v13 Exam Syllabus Topics:

Section	Weight	Objectives
System Hacking	17%	- System Hacking Tools and Countermeasures 1. Steganography 2. Ports and Log Files 3. Password Recovery Tools 4. Keyloggers and Spyware 5. Rootkits 6. Covering Tracks Countermeasures - System Hacking Methodologies 1. Gaining Access 2. Escalating Privileges 3. Cracking Passwords 4. Hiding Files 5. Executing Applications 6. Covering Tracks
Information Security and Ethical Hacking Overview	6%	- Information Security Overview 1. Understanding Information Security Laws and Standards 2. Information Security Threats and Attack Vectors 3. Understanding Information Security Controls 4. Proactive Cyber Defense 5. Understanding Information Security - Ethical Hacking Overview 1. Security Testing Methodologies 2. Need for Ethical Hackers 3. Skills and Mindset of an Ethical Hacker 4. Governance and Compliance 5. What is Ethical Hacking?
Wireless Network Attacks	9%	- Wireless Network Concepts 1. Wireless Encryption and Security 2. Wireless Terminology and Standards 3. Wireless Network Topology and Threats - Wireless Hacking Methodology 1. Wireless Network Countermeasures 2. Wireless Sniffing and Wardriving 3. Wireless Network Hacking Tools 4. Cracking WPA/WPA2 and WEP Encryption 5. Bluetooth and RFID Attacks
Vulnerability Analysis	7%	- Vulnerability Assessment Concepts 1. Vulnerability Assessment Tools and Software 2. Vulnerability Scoring Systems 3. Vulnerability Assessment Solutions
Cloud and Container Attacks	10%	- Cloud Attacks and Security 1. Container Security Tools and Countermeasures 2. Cloud Security Tools and Best Practices 3. Cloud Security Threats and Attacks 4. Cloud Penetration Testing - Cloud Computing Concepts 1. Container Technology 2. Cloud Service Models (IaaS, PaaS, SaaS) 3. Serverless Architecture 4. Cloud Architecture and Deployment Models
Malware Threats	8%	- Malware and Its Types 1. Malware Fundamentals 2. Types of Malware 3. APT Concepts 4. APT and Futuristic Malware - Malware Analysis and Distribution 1. Malware Detection Methods 2. Malware Countermeasures 3. Malware Analysis Techniques
Web Application Attacks	19%	- Web Application Concepts and Attacks 1. Web Application Countermeasures 2. OWASP Top 10 Vulnerabilities 3. Cross-Site Scripting (XSS) and Request Forgery 4. Web Application Password Cracking and Clickjacking 5. Injection Attacks 6. Web Application Architecture 7. Authentication and Session Management Attacks 8. Web Application Scanning and Testing Tools - Hacking Web Servers and Web Applications 1. Web Server Attack Methodology 2. Web Server and Web Application Countermeasures 3. Web Server Attacks
Mobile Platform and IoT Attacks	7%	- IoT and OT Attacks 1. IoT Vulnerabilities and Threats 2. OT Concepts and Attacks 3. IoT Attack Tools and Countermeasures 4. IoT Hacking Methodology 5. IoT Concepts and Architecture - Mobile Platform Attack Vectors 1. Mobile Platform Overview 2. Mobile Security Tools and Countermeasures 3. Mobile Device Management (MDM) 4. Mobile Attack Surfaces and Vulnerabilities 5. Mobile Malware and Mobile Spyware 6. Mobile Attack Techniques
Sniffing and Evasion	10%	- Social Engineering 1. Social Engineering Techniques 2. Social Engineering Tools and Countermeasures 3. Social Engineering Concepts 4. Insider Threats and Identity Theft - Network Sniffing 1. VLAN Hopping and DHCP Starvation 2. Sniffing Concepts 3. MAC Flooding and Switch Port Stealing 4. Sniffing Tools 5. Sniffing Detection and Countermeasures 6. ARP Spoofing 7. STP Attacks and DNS Poisoning - Network Evasion 1. Evasion Techniques 2. Firewalls and Intrusion Detection/Prevention Systems 3. Denial of Service Attacks 4. IDS/Firewall Evasion Tools
Cryptography and Post-Exploitation	13%	- Post-Exploitation Techniques 1. Lateral Movement and Tunneling 2. Covering Tracks and Maintaining Access 3. Advanced Persistent Threat (APT) 4. Reporting and Documentation 5. Post-Exploitation Concepts - Cryptography Concepts 1. Code Signing and Email Encryption 2. Public Key Infrastructure (PKI) 3. Encryption Algorithms (Symmetric and Asymmetric) 4. Hashing and Digital Signatures 5. Disk Encryption and Cryptanalysis 6. Cryptography Tools 7. Cryptography Countermeasures 8. Encryption Fundamentals
Reconnaissance Techniques	21%	- Scanning Networks 1. Hping2 and Hping3 2. Scanning Tools 3. Drawing Network Diagrams 4. NIDS, NIPS, and Firewall Evasion Techniques 5. Banner Grabbing 6. Nmap and Zenmap 7. Port Scanning Techniques 8. Scan for Vulnerabilities 9. Network Scanning Concepts 10. Scanning Countermeasures 11. Proxy Servers and Anonymizers 12. Masscan 13. Detecting Live Systems - Footprinting and Reconnaissance 1. Footprinting through Search Engines 2. Footprinting through Web Services 3. Website Footprinting 4. Competitive Intelligence Gathering 5. DNS Footprinting 6. Footprinting Countermeasures 7. Email Footprinting 8. Footprinting through Social Networking Sites 9. AWS Cloud Footprinting 10. Footprinting Tools 11. Network Footprinting
Enumeration	15%	- Enumeration Process 1. VoIP Enumeration 2. LDAP Enumeration 3. SMB and SAMBA Enumeration 4. Enumeration Countermeasures 5. NetBIOS Enumeration 6. Mail Server Enumeration 7. RPC and NFS Enumeration 8. NTP Enumeration 9. SNMP Enumeration - Enumeration Concepts 1. Enumeration Techniques 2. Enumeration Fundamentals

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ECCouncil Certified Ethical Hacker Exam (CEH v13 AI) Sample Questions (Q363-Q368):

NEW QUESTION # 363
In sunny San Diego, California, security consultant Maya Ortiz is engaged by PacificGrid, a regional utilities provider, to analyze suspicious access patterns on their employee portal. While reviewing authentication logs, Maya notices many accounts each receive only a few login attempts before the attacker moves on to other targets; the attempts reuse a very small set of likely credentials across a large number of accounts and are spread out over several days and IP ranges to avoid triggering automated lockouts. Several low-privilege accounts were successfully accessed before the pattern was detected. Maya prepares a forensic timeline to help PacificGrid contain the incident.

A. Cross-Site Request Forgery (CSRF)
B. Password Spraying
C. Brute Force Attack
D. Session Hijacking

Answer: B

Explanation:
The attacker attempts a small number of logins per account using a limited set of commonly used passwords, spreading attempts over time and IPs to avoid detection. This behavior is characteristic of a password spraying attack.

NEW QUESTION # 364
You are a Network Security Officer. You have two machines. The first machine (192.168.0.99) has Snort installed, and the second machine (192.168.0.150) has Kiwi Syslog installed. You perform a SYN scan in your network, and you notice that Kiwi Syslog is not receiving the alert message from Snort. You decide to run Wireshark on the Snort machine to check if the messages are going to the Kiwi Syslog machine. What Wireshark filter will show the connections from the Snort machine to Kiwi Syslog machine?

A. tcp.dstport==514 && ip.dst==192.168.0.150
B. tcp.srcport==514 && ip.src==192.168.150
C. tcp.dstport==514 && ip.dst==192.168.0.99
D. tcp.srcport==514 && ip.src==192.168.0.99

Answer: A

Explanation:
Syslog messages are typically sent over UDP or TCP port 514 to the Syslog server. In this case, Snort (192.168.0.99) should send alerts to Kiwi Syslog (192.168.0.150) using TCP/UDP port 514.
The correct Wireshark filter to check if Snort is sending the messages to the Syslog server is:
tcp.dstport==514 && ip.dst==192.168.0.150
Reference - CEH v13 Official Study Guide:
Module 8: Sniffing
Topic: Packet Sniffing and Analysis
Quote:
"Wireshark filters like tcp.dstport and ip.dst can be used to verify outbound logs and traffic from intrusion detection systems." Incorrect Options:
A & B: Use incorrect IP addresses or direction
C: Uses incorrect destination IP (should be the Syslog server)

NEW QUESTION # 365
You are an ethical hacker at Nexus Cybersecurity, contracted to perform a penetration test for BlueRidge Retail, a U.S.-based e-commerce company in Atlanta, Georgia. While testing their online store's product search page, you attempt to inject a malicious query into the URL to extract customer data. The application is protected by a web application firewall (WAF) that blocks standard SQL injection attempts. To bypass this, you modify your input to split the query into multiple parts, ensuring the malicious instructions are not detected as a single signature. For example, you craft the URL as /products.php?id=1+U+NION+SE+LECT+1,2, which successfully retrieves unauthorized data. Based on the observed behavior, which SQL injection evasion technique are you employing?

A. Hex Encoding
B. In-line Comment
C. String Concatenation
D. Null Byte

Answer: C

Explanation:
The payload breaks the SQL keywords into separate parts so they are not detected as a single recognizable pattern by the WAF. This technique reconstructs the intended query at execution time, which is characteristic of string concatenation used for SQL injection evasion.

NEW QUESTION # 366
As a newly appointed network security analyst, you are tasked with ensuring that the organization's network can detect and prevent evasion techniques used by attackers. One commonly used evasion technique is packet fragmentation, which is designed to bypass intrusion detection systems (IDS). Which IDS configuration should be implemented to effectively counter this technique?

A. Implementing an anomaly-based IDS that can detect irregular traffic patterns caused by packet fragmentation.
B. Configuring the IDS to reject all fragmented packets to eliminate the risk.
C. Employing a signature-based IDS that recognizes the specific signature of fragmented packets.
D. Adjusting the IDS to recognize regular intervals at which fragmented packets are sent.

Answer: A

Explanation:
According to the Certified Ethical Hacker (CEH) IDS/IPS and Evasion Techniques module, packet fragmentation is a technique attackers use to split malicious payloads into smaller fragments so that signature-based IDS sensors may fail to reassemble and inspect the complete packet.
CEH explains that anomaly-based IDS systems are more effective against fragmentation evasion because they analyze behavioral deviations rather than relying solely on known signatures. Fragmented traffic often deviates from baseline network behavior in terms of packet size, sequencing, and reassembly anomalies.
Option A is correct because anomaly-based detection can identify abnormal fragmentation behavior even if the payload itself does not match known signatures.
Option B is unreliable, as attackers do not use consistent intervals.
Option C is impractical, since legitimate traffic may be fragmented.
Option D is less effective because signature-based IDS systems can be bypassed by fragmentation techniques.
CEH recommends packet normalization and anomaly-based detection as effective countermeasures.

NEW QUESTION # 367
Why would you consider sending an email to an address that you know does not exist within the company you are performing a Penetration Test for?

A. To test for virus protection
B. To perform a DoS
C. To create needless SPAM
D. To determine who is the holder of the root account
E. To illicit a response back that will reveal information about email servers and how they treat undeliverable mail

Answer: E

Explanation:
Sending email to a non-existent address can generate bounce messages or server responses that reveal useful information about the organization's email infrastructure, mail servers, and handling mechanisms.

NEW QUESTION # 368
......

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