ECCouncil Updated 312-50v13 Exam Questions and Answers by noel

The CEH Mobile Platform Security module explains that mobile antivirus solutions rely heavily on signatures and known exploit patterns. A custom exploit with obfuscation is far more likely to bypass detection.

CEH explicitly teaches that:

Zero-day or unpatched vulnerabilities

Custom, obfuscated payloads

Minimal use of known frameworks

are the most effective for bypassing endpoint defenses during controlled testing.

Option A is correct.

Options B and C are easily detected.

Option D is social engineering, not a technical exploit.

CEH v13 emphasizes that IoT and smart city environments are highly sensitive and safety-critical. When an IoT device shows anomalous outbound traffic and unauthorized open ports, this strongly indicates device compromise.

The correct immediate response is to isolate the affected device to prevent lateral movement and protect public safety. CEH v13 further stresses the importance of firmware analysis, as IoT malware often resides at the firmware level to maintain persistence.

Attempting reverse connections (Option A) is risky and may violate operational safety. Firewall changes alone (Option C) do not address an already compromised device. A full penetration test (Option D) is appropriate later but not as an immediate containment step.

Therefore, Option B aligns with CEH v13 incident handling best practices for IoT and OT environments.

The correct answer is C. MAC Flooding.

The scenario describes a switched network beginning to behave like a hub, with frames appearing across multiple switch ports. This happens when the switch’s CAM table is overwhelmed with many fake MAC address entries. Once the CAM table cannot reliably map destination MAC addresses to ports, the switch floods traffic out multiple ports.

CEH sniffing material explains that MAC flooding sends random MAC addresses mapped with random IP addresses to overflow the CAM table. When the CAM table is full, the switch acts like a hub and broadcasts packets to all ports, helping the attacker sniff packets more easily . Another CEH-aligned exam guide states that MAC flooding sends so many MAC addresses to the CAM table that it cannot keep up, effectively turning the switch into a hub .

Option A. Switch Port Stealing is incorrect because switch port stealing targets a specific victim MAC-to-port mapping through a race condition.

Option B. ARP Poisoning is incorrect because ARP poisoning manipulates ARP caches to redirect traffic through the attacker.

Option D. DNS Poisoning is incorrect because DNS poisoning manipulates name resolution, not switch forwarding behavior.

Therefore, the best answer is C. MAC Flooding.

The scenario emphasizes that Daniel “begins capturing and reviewing live network traffic” to identify unauthorized session behaviors. In CEH-aligned network analysis practice, the most direct method to confirm session hijacking when you already have a packet capture is manual packet analysis using packet sniffing tools. By inspecting live traffic, Daniel can correlate sessions, verify whether multiple sources are reusing the same session identifiers, identify abnormal TCP sequence and acknowledgment behavior, and detect patterns such as duplicated cookies/tokens, replayed requests, inconsistent client IP or user-agent shifts, or sudden session reuse across hosts. This approach provides evidentiary detail beyond an alert and allows validation before escalation.

An IDS can be helpful, but it is a detection system that generates alerts based on signatures or anomalies; it does not inherently “confirm” the issue unless it provides clear supporting evidence, and the question specifically frames Daniel’s action as hands-on traffic review. Checking for predictable session tokens is a preventive and diagnostic step for weak session management design, but it does not directly confirm an in-progress hijacking event from observed network behavior. Monitoring for ACK storms can indicate certain TCP-level hijacking/desynchronization conditions, but it is narrower and may not apply to application-layer session hijacking, which is far more common in enterprise environments and would be validated by inspecting session identifiers and request flows in the capture.

Therefore, given the described workflow and the need to confirm unauthorized session activity from live traffic, CEH methodology aligns best with manual packet analysis using sniffing tools.