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| Section | Weight | Objectives |
|---|---|---|
| Enumeration | 7% | - NetBIOS, SNMP, LDAP Enumeration - Enumeration Concepts - AI-Driven Enumeration - DNS, SMTP, NFS Enumeration - Enumeration Countermeasures |
| Sniffing | 5% | - Packet Sniffing Concepts - Sniffing Countermeasures - MITM Attacks - Sniffing Tools & Techniques |
| Wireless Networks | 5% | - Wireless Encryption: WEP, WPA2, WPA3 - Wireless Threats & Attacks - Wireless Hacking Tools - Security Best Practices |
| Introduction to Ethical Hacking | 5% | - Information Security Concepts - Ethical Hacking Methodology - Legal and Ethical Compliance - Cyber Kill Chain & MITRE ATT&CK |
| Cryptography | 5% | - Cryptography in Practice - Public Key Infrastructure - Cryptanalysis & Attacks - Encryption Concepts & Algorithms |
| Malware Threats | 7% | - Malware Analysis & Countermeasures - APT & Fileless Malware - Malware Types: Trojans, Viruses, Worms - AI-Powered Malware |
| Vulnerability Analysis | 8% | - Scanning & Analysis Tools - Vulnerability Research & Databases - Vulnerability Assessment Lifecycle - Vulnerability Classification & Scoring |
| Footprinting and Reconnaissance | 7% | - Reconnaissance Countermeasures - Reconnaissance Concepts - OSINT Techniques - DNS, WHOIS, Network Mapping |
| System Hacking | 8% | - Clearing Tracks & Logs - Maintaining Access - Gaining Access: Password Attacks - Privilege Escalation |
| Evading IDS, Firewalls, and Honeypots | 5% | - Honeypot Concepts & Detection - Evasion Techniques - IDS, IPS, Firewall Technologies |
| Scanning Networks | 8% | - Service & OS Fingerprinting - Network Scanning Basics - Scanning Countermeasures - AI-Assisted Scanning - Scanning Beyond IDS/Firewall - Host & Port Discovery |
| Mobile Platforms | 4% | - Mobile Attack Vectors - Mobile Device Security - Android & iOS Vulnerabilities |
| Session Hijacking | 4% | - Session Hijacking Concepts - Application & Network Level Hijacking - Hijacking Techniques - Countermeasures |
| Cloud Computing | 5% | - Cloud Models & Services - Cloud Security Risks - AWS, Azure, GCP Attacks - Cloud Security Best Practices |
| Social Engineering | 6% | - Social Engineering Concepts - Phishing, Pretexting, Baiting - Identity Theft - Countermeasures & Awareness |
| Denial-of-Service | 4% | - Attack Techniques & Botnets - DoS & DDoS Concepts - Defense Mechanisms - DDoS Tools |
| IoT & OT Security | 4% | - Security Controls - IoT/OT Architecture & Risks - Attacks on IoT & OT Systems |
| Web Server & Application Attacks | 8% | - Web Security Countermeasures - API Security Risks - Web Application Attacks: XSS, CSRF - Web Server Vulnerabilities - SQL Injection & Command Injection |
>> ECCouncil 312-50v13 Vorbereitungsfragen <<
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375. Frage
Infected systems receive external instructions over HTTP and DNS, with fileless payloads modifying system components. What is the most effective action to detect and disrupt this malware?
Antwort: C
Begründung:
This scenario describes fileless malware using covert command-and-control (C2) channels over commonly allowed protocols such as HTTP and DNS, a technique heavily emphasized in CEH v13 Malware Threats. Such malware avoids writing files to disk and instead leverages memory, legitimate system tools, and trusted protocols to evade traditional defenses.
Signature-based antivirus updates (Option A) are ineffective against fileless malware because there are no static artifacts to match. Blocking known malware ports (Option C) is also ineffective, as the malware intentionally uses ports 80 and 53, which must remain open for normal business operations. Restricting plain HTTP (Option B) may reduce visibility but does not stop DNS tunneling or encrypted malicious traffic.
CEH v13 identifies behavioral analytics as the most effective countermeasure against advanced malware.
Behavioral solutions establish a baseline of normal system and network activity, then detect anomalies such as:
* Unusual outbound DNS query patterns
* Abnormal HTTP beaconing intervals
* Legitimate applications behaving suspiciously
* PowerShell or system tools generating network traffic unexpectedly
By monitoring how systems behave rather than what files exist, behavioral analytics can identify stealthy C2 communications and disrupt them early. Therefore, Option D is the most effective and CEH-aligned response.
376. Frage
A financial technology firm in Atlanta, Georgia launches an internal investigation after multiple employees report that a popular messaging application on their Android devices has begun displaying excessive advertisements and behaving unpredictably. Security analysts discover that users had installed a utility application from a third-party marketplace weeks earlier. Further examination shows that this application silently replaced certain legitimate apps already present on the device. The compromised applications were then used to generate large volumes of advertisements and collect user data for external transmission. Based on the observed behavior, what malware is most consistent with this incident?
Antwort: D
Begründung:
The behavior described most closely matches Agent Smith, an Android malware family known for replacing or hijacking legitimate applications and monetizing that access through ad fraud and data abuse. The strongest clues are the installation from a third-party marketplace, the silent replacement of already installed apps, and the use of those altered applications to push excessive advertisements while collecting information. In CEH mobile platform discussions, third-party app ecosystems are repeatedly identified as high-risk distribution paths for malicious or trojanized software because the apps may avoid the stricter vetting associated with official marketplaces. Pegasus is generally associated with advanced spyware capabilities and covert surveillance, not ad-fraud-driven replacement of popular apps. GoldPickaxe is tied to more targeted mobile credential and identity theft campaigns, while Mamo is not the fitting malware profile here. This question is testing recognition of a well-known Android malware pattern: malicious code embedded in an apparently useful application that later abuses the trust and visibility of legitimate apps already on the phone. CEH mobile security principles stress that unofficial app sources significantly increase the risk of this kind of compromise.
377. Frage
Which type of attack attempts to overflow the content-addressable memory (CAM) table in an Ethernet switch?
Antwort: D
378. Frage
While testing a web application, a penetration tester discovers that the server parses XML documents and allows external entity declarations. Which attack could potentially disclose sensitive local files if proper protections are absent?
Antwort: D
Begründung:
XML External Entity (XXE) attacks exploit XML parsers that process external entities. If external entity resolution is enabled, attackers may access local files, perform server-side requests, or consume system resources. Disabling external entity processing and using secure parser configurations effectively mitigates this vulnerability.
379. Frage
As a security analyst for Sky Secure Inc., you are working with a client that uses a multi-cloud strategy, utilizing services from several cloud providers. The client wants to implement a system that will provide unified security management across all their cloud platforms. They need a solution that allows them to consistently enforce security policies, identify and respond to threats, and maintain visibility of all their cloud resources. Which of the following should you recommend as the best solution?
Antwort: B
Begründung:
A Cloud Access Security Broker (CASB) is a security policy enforcement point, either on-premises or in the cloud, that administers an organization's enterprise security policies when users attempt to access its cloud- based resources. A CASB can provide unified security management across multiple cloud platforms, as it can monitor cloud activity, enforce security policies, identify and respond to threats, and maintain visibility of all cloud resources. A CASB can also integrate with other security tools, such as data loss prevention (DLP), encryption, malware detection, and identity and access management (IAM), to enhance the security posture of the organization.
The other options are not as effective or feasible as using a CASB. Using a hardware-based firewall to secure all cloud resources may not be compatible with the dynamic and scalable nature of the cloud, as it may introduce latency, complexity, and cost. Implementing separate security management tools for each cloud platform may create inconsistency, inefficiency, and confusion, as each tool may have different features, interfaces, and configurations. Relying on the built-in security features of each cloud platform may not be sufficient or comprehensive, as each platform may have different levels of security, compliance, and functionality. References:
* What Is a Cloud Access Security Broker (CASB)? | Microsoft
* What Is a CASB? - Cloud Access Security Broker - Cisco
* What is a Cloud Access Security Broker (CASB)?
380. Frage
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