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ECCouncil 312-50v13 Exam Syllabus Topics:

SectionWeightObjectives
Cryptography and Post-Exploitation13%- Cryptography Concepts
  • 1. Disk Encryption and Cryptanalysis
  • 2. Code Signing and Email Encryption
  • 3. Public Key Infrastructure (PKI)
  • 4. Encryption Fundamentals
  • 5. Cryptography Countermeasures
  • 6. Cryptography Tools
  • 7. Encryption Algorithms (Symmetric and Asymmetric)
  • 8. Hashing and Digital Signatures
- Post-Exploitation Techniques
  • 1. Lateral Movement and Tunneling
  • 2. Covering Tracks and Maintaining Access
  • 3. Post-Exploitation Concepts
  • 4. Reporting and Documentation
  • 5. Advanced Persistent Threat (APT)
Mobile Platform and IoT Attacks7%- IoT and OT Attacks
  • 1. IoT Concepts and Architecture
  • 2. OT Concepts and Attacks
  • 3. IoT Attack Tools and Countermeasures
  • 4. IoT Vulnerabilities and Threats
  • 5. IoT Hacking Methodology
- Mobile Platform Attack Vectors
  • 1. Mobile Platform Overview
  • 2. Mobile Security Tools and Countermeasures
  • 3. Mobile Attack Techniques
  • 4. Mobile Attack Surfaces and Vulnerabilities
  • 5. Mobile Device Management (MDM)
  • 6. Mobile Malware and Mobile Spyware
Enumeration15%- Enumeration Concepts
  • 1. Enumeration Techniques
  • 2. Enumeration Fundamentals
- Enumeration Process
  • 1. Mail Server Enumeration
  • 2. NetBIOS Enumeration
  • 3. LDAP Enumeration
  • 4. SMB and SAMBA Enumeration
  • 5. NTP Enumeration
  • 6. VoIP Enumeration
  • 7. SNMP Enumeration
  • 8. Enumeration Countermeasures
  • 9. RPC and NFS Enumeration
Web Application Attacks19%- Hacking Web Servers and Web Applications
  • 1. Web Server Attacks
  • 2. Web Server Attack Methodology
  • 3. Web Server and Web Application Countermeasures
- Web Application Concepts and Attacks
  • 1. Web Application Password Cracking and Clickjacking
  • 2. Authentication and Session Management Attacks
  • 3. Cross-Site Scripting (XSS) and Request Forgery
  • 4. OWASP Top 10 Vulnerabilities
  • 5. Injection Attacks
  • 6. Web Application Architecture
  • 7. Web Application Countermeasures
  • 8. Web Application Scanning and Testing Tools
System Hacking17%- System Hacking Methodologies
  • 1. Escalating Privileges
  • 2. Cracking Passwords
  • 3. Gaining Access
  • 4. Executing Applications
  • 5. Covering Tracks
  • 6. Hiding Files
- System Hacking Tools and Countermeasures
  • 1. Rootkits
  • 2. Ports and Log Files
  • 3. Covering Tracks Countermeasures
  • 4. Keyloggers and Spyware
  • 5. Password Recovery Tools
  • 6. Steganography
Vulnerability Analysis7%- Vulnerability Assessment Concepts
  • 1. Vulnerability Scoring Systems
  • 2. Vulnerability Assessment Tools and Software
  • 3. Vulnerability Assessment Solutions
Information Security and Ethical Hacking Overview6%- Information Security Overview
  • 1. Understanding Information Security
  • 2. Understanding Information Security Laws and Standards
  • 3. Proactive Cyber Defense
  • 4. Understanding Information Security Controls
  • 5. Information Security Threats and Attack Vectors
- Ethical Hacking Overview
  • 1. Skills and Mindset of an Ethical Hacker
  • 2. Need for Ethical Hackers
  • 3. Governance and Compliance
  • 4. Security Testing Methodologies
  • 5. What is Ethical Hacking?
Wireless Network Attacks9%- Wireless Hacking Methodology
  • 1. Cracking WPA/WPA2 and WEP Encryption
  • 2. Wireless Sniffing and Wardriving
  • 3. Wireless Network Countermeasures
  • 4. Bluetooth and RFID Attacks
  • 5. Wireless Network Hacking Tools
- Wireless Network Concepts
  • 1. Wireless Encryption and Security
  • 2. Wireless Terminology and Standards
  • 3. Wireless Network Topology and Threats
Cloud and Container Attacks10%- Cloud Attacks and Security
  • 1. Container Security Tools and Countermeasures
  • 2. Cloud Security Threats and Attacks
  • 3. Cloud Penetration Testing
  • 4. Cloud Security Tools and Best Practices
- Cloud Computing Concepts
  • 1. Cloud Architecture and Deployment Models
  • 2. Cloud Service Models (IaaS, PaaS, SaaS)
  • 3. Serverless Architecture
  • 4. Container Technology
Sniffing and Evasion10%- Network Sniffing
  • 1. Sniffing Concepts
  • 2. Sniffing Tools
  • 3. STP Attacks and DNS Poisoning
  • 4. VLAN Hopping and DHCP Starvation
  • 5. MAC Flooding and Switch Port Stealing
  • 6. ARP Spoofing
  • 7. Sniffing Detection and Countermeasures
- Social Engineering
  • 1. Social Engineering Concepts
  • 2. Social Engineering Tools and Countermeasures
  • 3. Insider Threats and Identity Theft
  • 4. Social Engineering Techniques
- Network Evasion
  • 1. Evasion Techniques
  • 2. Denial of Service Attacks
  • 3. Firewalls and Intrusion Detection/Prevention Systems
  • 4. IDS/Firewall Evasion Tools
Reconnaissance Techniques21%- Footprinting and Reconnaissance
  • 1. Footprinting Tools
  • 2. Footprinting through Web Services
  • 3. Email Footprinting
  • 4. DNS Footprinting
  • 5. AWS Cloud Footprinting
  • 6. Footprinting Countermeasures
  • 7. Competitive Intelligence Gathering
  • 8. Footprinting through Search Engines
  • 9. Footprinting through Social Networking Sites
  • 10. Website Footprinting
  • 11. Network Footprinting
- Scanning Networks
  • 1. Proxy Servers and Anonymizers
  • 2. Banner Grabbing
  • 3. Masscan
  • 4. NIDS, NIPS, and Firewall Evasion Techniques
  • 5. Port Scanning Techniques
  • 6. Drawing Network Diagrams
  • 7. Hping2 and Hping3
  • 8. Scan for Vulnerabilities
  • 9. Scanning Countermeasures
  • 10. Scanning Tools
  • 11. Nmap and Zenmap
  • 12. Network Scanning Concepts
  • 13. Detecting Live Systems
Malware Threats8%- Malware Analysis and Distribution
  • 1. Malware Countermeasures
  • 2. Malware Analysis Techniques
  • 3. Malware Detection Methods
- Malware and Its Types
  • 1. APT and Futuristic Malware
  • 2. Types of Malware
  • 3. APT Concepts
  • 4. Malware Fundamentals

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ECCouncil Certified Ethical Hacker Exam (CEH v13 AI) Sample Questions (Q777-Q782):

NEW QUESTION # 777
In a recent cybersecurity incident, Google's response team in the United States investigated a severe attack that briefly disrupted services and customer-facing platforms for approximately 2-3 minutes. Server logs recorded a sudden surge in traffic, peaking at 398 million requests per second, which caused active connections to drop unexpectedly. The attack was traced to numerous compromised devices, likely orchestrated through malicious tools promoted on social media. Based on this information, what type of attack was most likely executed against Google's infrastructure?

Answer: B

Explanation:
The attack generated an extremely high volume of requests per second targeting application services, which is characteristic of an HTTP flood. Such attacks use GET or POST requests to overwhelm web servers and disrupt availability, often launched through botnets.


NEW QUESTION # 778
A financial analytics platform in Newark, New Jersey exposes a search parameter used to filter archived transaction records. During controlled testing, a security consultant submits carefully structured input designed to influence how the backend evaluates filtering conditions.
The application continues to render the standard page layout, but response times fluctuate noticeably when specific logical expressions are introduced. By refining those conditions incrementally, the consultant observes consistent timing differences that align with changes in database evaluation behavior.
The visible output remains unchanged, yet measurable performance variations provide feedback to the tester. Identify the SQL injection technique being demonstrated.

Answer: B

Explanation:
The scenario describes inference of database behavior through observable differences in response time rather than visible output or error messages. This pattern aligns with time-based blind SQL injection, where the attacker derives information by intentionally introducing conditional logic and measuring how query execution time changes.


NEW QUESTION # 779
Emma, an ethical hacker at a Chicago-based healthcare provider, is performing a penetration test on the organization ' s patient record system following a recent data breach. During her investigation, she discovers that attackers gained access to a large volume of encrypted patient records but had no knowledge of the original data or encryption keys. Emma observes that the system uses a block cipher and suspects the attackers may have applied a cryptanalytic method that examines encrypted outputs in bulk to detect structural or statistical patterns in the encrypted data.
Which cryptanalysis technique should Emma investigate to assess the system ' s vulnerability in this scenario?

Answer: C

Explanation:
The correct answer is D, ciphertext-only attack, because the attackers possess only encrypted data and have neither the encryption key nor any confirmed samples of the original plaintext. In CEH-aligned cryptography concepts, cryptanalytic attacks are categorized by what information and capabilities the attacker has. A ciphertext-only attack is the most constrained model: the attacker attempts to infer the plaintext or key by analyzing ciphertext alone, often leveraging statistical properties, repetitions, formatting assumptions, and structural patterns that may leak information when encryption is misused.
The scenario highlights that the attacker "examines encrypted outputs in bulk" to detect "structural or statistical patterns." That wording maps directly to ciphertext-only analysis: looking for patterns caused by weak modes of operation, poor IV/nonce handling, deterministic encryption, repeated blocks (common in ECB mode), predictable headers, or consistent record templates. With block ciphers, large datasets increase the chance that repeated plaintext blocks produce repeated ciphertext blocks if the system uses an unsafe mode or reuses IVs, allowing an attacker to correlate records, identify fields, or sometimes recover content when combined with protocol or file-format knowledge.
The other options require more attacker capability than the prompt provides. Known-plaintext attacks require some plaintext-ciphertext pairs. Chosen-plaintext attacks require the ability to encrypt attacker-chosen inputs.
Chosen-ciphertext attacks require a decryption oracle or the ability to submit ciphertext for decryption. Since none of those are present here, Emma should evaluate ciphertext-only exposure and specifically validate the cipher mode, IV/nonce uniqueness, padding behavior, and whether encryption is semantically secure for stored patient records.


NEW QUESTION # 780
During an internal security assessment of a medium-sized enterprise network, a security analyst notices an unusual spike in ARP traffic. Closer inspection reveals that one particular MAC address is associated with multiple IP addresses across different subnets. The ARP packets were unsolicited replies rather than requests, and several employees from different departments have reported intermittent connection drops, failed logins, and broken intranet sessions. The analyst suspects an intentional interference on the local network segment.
What is the most likely cause of this abnormal behavior?

Answer: D

Explanation:
CEH v13 explains that ARP poisoning (also known as ARP spoofing) occurs when an attacker sends forged ARP replies across the network to associate their MAC address with multiple IP addresses, tricking hosts into sending traffic through the attacker's machine. This results in routing inconsistencies, intermittent connectivity, failed logins, and degraded intranet performance-exactly the symptoms described. ARP poisoning typically involves unsolicited ARP replies, which overwrite legitimate ARP cache entries. CEH emphasizes that ARP-based attacks are common on LANs because ARP lacks authentication, allowing attackers to impersonate gateways or key hosts. DHCP snooping misconfigurations (Option B) affect IP allocation, not ARP mappings. Legitimate ARP refreshes (Option C) are request-based and do not involve flooding unsolicited replies. Port security restrictions (Option D) block MAC anomalies, not create them.
Therefore, ARP poisoning is the correct root cause.


NEW QUESTION # 781
What is CVSS used for?

Answer: C

Explanation:
CVSS (Common Vulnerability Scoring System) is used to measure and standardize the severity of security vulnerabilities based on their impact and exploitability.


NEW QUESTION # 782
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