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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Enumeration | 7% | - DNS, SMTP, NFS Enumeration - Enumeration Countermeasures - NetBIOS, SNMP, LDAP Enumeration - Enumeration Concepts - AI-Driven Enumeration |
| Topic 2: Mobile Platforms | 4% | - Android & iOS Vulnerabilities - Mobile Attack Vectors - Mobile Device Security |
| Topic 3: Sniffing | 5% | - Packet Sniffing Concepts - Sniffing Countermeasures - MITM Attacks - Sniffing Tools & Techniques |
| Topic 4: Footprinting and Reconnaissance | 7% | - DNS, WHOIS, Network Mapping - Reconnaissance Concepts - Reconnaissance Countermeasures - OSINT Techniques |
| Topic 5: Vulnerability Analysis | 8% | - Scanning & Analysis Tools - Vulnerability Classification & Scoring - Vulnerability Research & Databases - Vulnerability Assessment Lifecycle |
| Topic 6: IoT & OT Security | 4% | - Attacks on IoT & OT Systems - IoT/OT Architecture & Risks - Security Controls |
| Topic 7: Malware Threats | 7% | - Malware Analysis & Countermeasures - APT & Fileless Malware - Malware Types: Trojans, Viruses, Worms - AI-Powered Malware |
| Topic 8: Evading IDS, Firewalls, and Honeypots | 5% | - IDS, IPS, Firewall Technologies - Honeypot Concepts & Detection - Evasion Techniques |
| Topic 9: Web Server & Application Attacks | 8% | - Web Server Vulnerabilities - API Security Risks - Web Security Countermeasures - SQL Injection & Command Injection - Web Application Attacks: XSS, CSRF |
| Topic 10: Cryptography | 5% | - Cryptography in Practice - Public Key Infrastructure - Encryption Concepts & Algorithms - Cryptanalysis & Attacks |
| Topic 11: Cloud Computing | 5% | - AWS, Azure, GCP Attacks - Cloud Models & Services - Cloud Security Risks - Cloud Security Best Practices |
| Topic 12: Scanning Networks | 8% | - Host & Port Discovery - Scanning Beyond IDS/Firewall - Service & OS Fingerprinting - Network Scanning Basics - Scanning Countermeasures - AI-Assisted Scanning |
| Topic 13: Wireless Networks | 5% | - Wireless Encryption: WEP, WPA2, WPA3 - Security Best Practices - Wireless Hacking Tools - Wireless Threats & Attacks |
| Topic 14: Session Hijacking | 4% | - Hijacking Techniques - Countermeasures - Session Hijacking Concepts - Application & Network Level Hijacking |
| Topic 15: Social Engineering | 6% | - Countermeasures & Awareness - Phishing, Pretexting, Baiting - Social Engineering Concepts - Identity Theft |
| Topic 16: Introduction to Ethical Hacking | 5% | - Legal and Ethical Compliance - Ethical Hacking Methodology - Cyber Kill Chain & MITRE ATT&CK - Information Security Concepts |
| Topic 17: Denial-of-Service | 4% | - DDoS Tools - Attack Techniques & Botnets - Defense Mechanisms - DoS & DDoS Concepts |
| Topic 18: System Hacking | 8% | - Clearing Tracks & Logs - Gaining Access: Password Attacks - Privilege Escalation - Maintaining Access |
資格証明書を使用すると、この専門職に就く資格が得られます。したがって、テスト312-50v13認定を取得することは、将来の雇用にとって極めて重要です。また、312-50v13学習ツールは、短時間で312-50v13テストを取得したいユーザーに優れた学習プラットフォームを提供できます。弊社を信頼することを選択できる場合、312-50v13スタディガイドを使用すると良い経験が得られ、試験に合格し、テスト312-50v13認定で良い成績を得ることができると思います。
質問 # 479
An employee finds a USB drive labeled "Employee Salary Info 2024" and plugs it into a company computer, causing erratic behavior. What type of social engineering attack is this?
正解：C
解説：
This scenario represents a classic baiting attack, a social engineering technique explicitly described in CEH v13 Social Engineering. In baiting, attackers exploit human curiosity or greed by leaving behind a malicious physical device-most commonly a USB drive-with an enticing label. When the victim plugs the device into a system, malware is automatically executed, leading to compromise.
Option A precisely captures this behavior. The label "Employee Salary Info 2024" is intentionally designed to entice the victim into interacting with the device. CEH v13 highlights USB baiting as particularly dangerous because it bypasses technical controls and relies solely on human behavior.
Option B describes pretexting, which involves impersonation. Option C refers to dumpster diving. Option D describes tailgating, a physical access attack. None of these match the USB-based lure described.
CEH v13 emphasizes that baiting attacks are highly effective in corporate environments and recommends strong security awareness training and disabling USB autorun features as mitigation.
質問 # 480
A penetration tester is assessing a web application that does not properly sanitize user input in the search field. The tester suspects the application is vulnerable to a SQL injection attack. Which approach should the tester take to confirm the vulnerability?
正解：B
解説：
Entering a tautological SQL condition directly tests whether the search input is being concatenated into a backend SQL query without proper sanitization, which would cause altered or unexpected results if the application is vulnerable to SQL injection.
質問 # 481
A penetration tester is assessing a company's vulnerability to advanced social engineering attacks targeting its legal department. Using detailed knowledge of mergers and legal proceedings, the tester crafts a highly credible pretext to deceive legal employees into sharing confidential case documents. What is the most effective technique?
正解：A
解説：
CEH identifies spear-phishing as a targeted, context-rich social engineering method tailored to specific individuals or departments. By incorporating accurate insider details, attackers significantly increase trust and likelihood of disclosure.
質問 # 482
A healthcare technology company deploys internet-connected cardiac monitoring devices across several hospitals in Minneapolis, Minnesota. During a controlled security review, an analyst discovers that administrative configuration features can be accessed remotely through components that interact with external management platforms.
Further analysis reveals that these externally reachable components process user-supplied data without sufficient validation checks. Additionally, authentication controls protecting remote configuration features rely solely on basic credential verification without additional safeguards against automated misuse.
According to the OWASP Top 10 IoT Vulnerabilities, how should this weakness be classified?
正解：A
解説：
The correct answer is A. Insecure Ecosystem Interfaces.
The weakness involves externally reachable components that interact with management platforms and expose administrative configuration functions. These components also suffer from insufficient input validation and weak authentication controls. This aligns with Insecure Ecosystem Interfaces, which covers insecure web, cloud, mobile, API, and backend interfaces that form part of the IoT device ecosystem.
CEH-aligned IoT material identifies vulnerable interfaces as a major IoT challenge and lists OWASP IoT categories including insecure web, cloud, and mobile interfaces, insufficient authentication/authorization, and insecure network services . It also explains that insecure cloud and mobile interfaces are associated with weak credentials, account enumeration, and poor interface protection . In the newer OWASP IoT wording, these interface weaknesses are commonly grouped under Insecure Ecosystem Interfaces.
Option B. Insecure Default Settings is incorrect because the scenario does not focus on default passwords, default configurations, unnecessary enabled services, or insecure factory settings.
Option C. Insecure Network Services is incorrect because that category focuses on vulnerable network services exposed by the device, such as services susceptible to buffer overflow or denial-of-service conditions. The scenario emphasizes external ecosystem components and management interfaces.
Option D. Lack of Device Management is incorrect because the scenario does not describe missing inventory, missing update management, missing decommissioning, or inability to monitor device lifecycle.
Therefore, the best answer is A. Insecure Ecosystem Interfaces.
質問 # 483
At a fast-growing mobile gaming company in Seoul, South Korea, cybersecurity analyst Ji-Hoon Park was investigating an unusual spike in outbound traffic originating from thousands of Android devices used by players worldwide. The traffic appeared highly coordinated and was targeting a third-party payment gateway integrated into the platform.
During the investigation, it was discovered that many affected users had recently installed a widely distributed version of a popular game from unofficial application sources. The application functioned normally but included additional hidden components that executed background network operations without user awareness.
Further analysis revealed that the affected devices were consistently generating traffic patterns aligned in timing and destination, despite being geographically distributed.
Which technique most accurately describes how these devices were being leveraged to launch the attack?
正解：C
解説：
A botnet is a collection of compromised devices controlled as a coordinated group. Here, the hidden application components have converted geographically dispersed Android devices into bots that generate synchronized traffic against one destination. The combined traffic volume produces a distributed denial-of- service attack even if each individual device contributes only a modest number of requests.
Options A, B, and C concern infection or malware-delivery mechanisms. Installing a repackaged game from an unofficial source may explain how the devices were compromised, but the question asks how they were being leveraged after compromise. Their aligned timing, common destination, background execution, and large geographic distribution establish botnet-controlled DDoS activity.
Mobile botnets commonly use a command-and-control infrastructure to assign targets, update attack parameters, and coordinate HTTP, TCP, or UDP floods. Recommended defenses include restricting sideloading, validating application signatures, monitoring unusual background network activity, applying mobile threat defense, filtering malicious command-and-control domains, and coordinating upstream DDoS mitigation. Cloudflare's analysis of the WireX botnet documented Android devices running malicious applications that were specifically designed to generate coordinated DDoS traffic. Cloudflare WireX analysis
質問 # 484
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Topexamは、効果的な勤勉さを最高の報酬に変えることができる素晴らしい学習プラットフォームです。 ECCouncil長年の勤勉な作業により、当社の専門家は頻繁にテストされた知識を参考のために312-50v13試験資料に集めました。 したがって、私たちの練習教材は彼らの努力の勝利です。 312-50v13試験の資料に頼ることで、以前に想像した以上の成果を確実に得ることができます。 312-50v13練習教材を選択したお客様から収集した明確なデータがあり、Certified Ethical Hacker Exam (CEH v13 AI)合格率は98〜100％です。
312-50v13対応資料: https://www.topexam.jp/312-50v13_shiken.html
P.S. TopexamがGoogle Driveで共有している無料かつ新しい312-50v13ダンプ：https://drive.google.com/open?id=1DtAQavLehw-SSnP64NPmA5yxcW0IUhc9