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| Section | Weight | Objectives |
|---|---|---|
| Sniffing | 5% | - Sniffing Tools & Techniques - Packet Sniffing Concepts - MITM Attacks - Sniffing Countermeasures |
| IoT & OT Security | 4% | - IoT/OT Architecture & Risks - Security Controls - Attacks on IoT & OT Systems |
| Cloud Computing | 5% | - AWS, Azure, GCP Attacks - Cloud Security Risks - Cloud Security Best Practices - Cloud Models & Services |
| Vulnerability Analysis | 8% | - Vulnerability Assessment Lifecycle - Vulnerability Research & Databases - Vulnerability Classification & Scoring - Scanning & Analysis Tools |
| Session Hijacking | 4% | - Session Hijacking Concepts - Countermeasures - Application & Network Level Hijacking - Hijacking Techniques |
| Enumeration | 7% | - Enumeration Countermeasures - NetBIOS, SNMP, LDAP Enumeration - Enumeration Concepts - DNS, SMTP, NFS Enumeration - AI-Driven Enumeration |
| Introduction to Ethical Hacking | 5% | - Ethical Hacking Methodology - Legal and Ethical Compliance - Information Security Concepts - Cyber Kill Chain & MITRE ATT&CK |
| Footprinting and Reconnaissance | 7% | - DNS, WHOIS, Network Mapping - OSINT Techniques - Reconnaissance Concepts - Reconnaissance Countermeasures |
| Mobile Platforms | 4% | - Mobile Device Security - Mobile Attack Vectors - Android & iOS Vulnerabilities |
| Cryptography | 5% | - Public Key Infrastructure - Cryptanalysis & Attacks - Cryptography in Practice - Encryption Concepts & Algorithms |
| Denial-of-Service | 4% | - Defense Mechanisms - DDoS Tools - DoS & DDoS Concepts - Attack Techniques & Botnets |
| Web Server & Application Attacks | 8% | - API Security Risks - SQL Injection & Command Injection - Web Security Countermeasures - Web Server Vulnerabilities - Web Application Attacks: XSS, CSRF |
| Social Engineering | 6% | - Countermeasures & Awareness - Identity Theft - Social Engineering Concepts - Phishing, Pretexting, Baiting |
| Wireless Networks | 5% | - Wireless Encryption: WEP, WPA2, WPA3 - Wireless Threats & Attacks - Wireless Hacking Tools - Security Best Practices |
| System Hacking | 8% | - Clearing Tracks & Logs - Maintaining Access - Gaining Access: Password Attacks - Privilege Escalation |
| Evading IDS, Firewalls, and Honeypots | 5% | - Evasion Techniques - Honeypot Concepts & Detection - IDS, IPS, Firewall Technologies |
| Malware Threats | 7% | - Malware Types: Trojans, Viruses, Worms - Malware Analysis & Countermeasures - APT & Fileless Malware - AI-Powered Malware |
| Scanning Networks | 8% | - Scanning Beyond IDS/Firewall - AI-Assisted Scanning - Network Scanning Basics - Service & OS Fingerprinting - Scanning Countermeasures - Host & Port Discovery |
>> 312-50v13 Zertifikatsfragen <<
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77. Frage
In a controlled testing environment in Houston, Sarah, an ethical hacker, is tasked with evaluating the security posture of a financial firm's network using the cyber kill chain methodology. She begins by simulating an attack, starting with gathering publicly available data about the company's employees and infrastructure. Next, she plans to craft a mock phishing email to test employee responses, followed by deploying a harmless payload to assess system vulnerabilities.
As part of her authorized penetration test, what phase of the cyber kill chain should Sarah prioritize to simulate the adversary's approach effectively?
Antwort: C
Begründung:
The initial step described involves gathering publicly available information about employees and infrastructure. This corresponds to the reconnaissance phase, where attackers collect intelligence to plan and tailor subsequent attack stages.
78. Frage
Wilson, a professional hacker, targets an organization for financial benefit and plans to compromise its systems by sending malicious emails. For this purpose, he uses a tool to track the emails of the target and extracts information such as sender identities, mail servers, sender IP addresses, and sender locations from different public sources. He also checks if an email address was leaked using the haveibeenpwned.com API. Which of the following tools is used by Wilson in the above scenario?
Antwort: C
79. Frage
You are Jordan, a cryptographic assessor at Cascade Data in Portland, Oregon, reviewing the protection applied to telemetry logs. Your review finds an algorithm that operates on 128-bit blocks, accepts keys up to 256 bits, and the documentation notes it was one of the finalists in the AES selection process that aimed to replace legacy DES. Which symmetric encryption algorithm should you identify as being used?
Antwort: B
Begründung:
The algorithm operates on 128-bit blocks, supports key sizes up to 256 bits, and was selected as the Advanced Encryption Standard (AES) to replace DES.
80. Frage
In the overcast afternoon of Vancouver, Canada, certified ethical hacker Marcus Hale was performing an authorized red-team engagement against a large insurance claims portal protected by a web application firewall. After several standard input-manipulation attempts were silently blocked, he began experimenting directly with the URL query string of the claim-search endpoint by appending an additional identical parameter name while keeping the original parameter value intact.
The application processed the combined parameters without rejection and returned unexpected sensitive records that should have remained filtered out. Further testing confirmed that one parameter value satisfied the firewall validation rules, while the second value was processed by the backend system, resulting in altered query behavior and unauthorized data retrieval.
What firewall-bypass technique for SQL injection is being demonstrated in this scenario?
Antwort: C
Begründung:
HTTP Parameter Pollution (HPP) occurs when a request contains the same parameter name more than once.
Web servers, frameworks, proxies, and WAFs do not always handle duplicate parameters consistently. One component may evaluate the first value, while the backend selects the last value, combines all values, or converts them into an array. An attacker can exploit that processing difference to present a harmless value to the security layer while delivering a malicious value to the application.
The scenario provides the defining HPP condition: an identical parameter name is appended to the query string, the WAF validates one value, and the backend processes another. HTTP Parameter Fragmentation, represented by HPF, instead divides an attack expression across different parameters that are later combined.
A generic signature bypass does not specifically explain the duplicate-name behavior, while normalization concerns inconsistent canonicalization of encoded or structurally different input.
Effective countermeasures require consistent parameter parsing across the proxy, WAF, web server, framework, and application. Unexpected duplicate parameters should normally be rejected, and SQL statements must use parameterized queries. OWASP defines HPP testing as submitting multiple HTTP parameters with the same name and notes that inconsistent interpretation can bypass validation or modify internal values. OWASP HTTP Parameter Pollution testing
81. Frage
After a breach, investigators discover attackers used modified legitimate system utilities and a Windows service to persist undetected and harvest credentials. What key step would best protect against similar future attacks?
Antwort: D
Begründung:
CEH materials describe this attack pattern as Living-off-the-Land (LotL), where attackers abuse legitimate tools to avoid detection. Because these binaries are normally trusted, traditional antivirus solutions may not flag them.
CEH recommends file integrity monitoring (FIM), which tracks cryptographic hashes of sensitive executables and alerts administrators when unauthorized modifications occur.
Option D is correct.
Options A and B support resilience but do not detect tampering.
Option C alone is insufficient against LotL attacks.
82. Frage
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