Last updated on Jun 09, 2026
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If you are a student aspiring to become a certified ethical hacker, the EC-Council 312-50 Exam is a crucial step in your journey. This exam, also known as the Certified Ethical Hacker (CEH) exam, evaluates your knowledge and skills in identifying vulnerabilities and securing computer systems.
The EC-Council 312-50 Exam is designed to assess your understanding of ethical hacking techniques and methodologies. It covers a wide range of topics, including but not limited to:
To increase your chances of success in the EC-Council 312-50 Exam, it is essential to follow a comprehensive study plan. Here are some actionable tips to help you prepare effectively:
Here are a few additional tips to help you excel in the EC-Council 312-50 Exam:
By following these tips and investing dedicated effort into your preparation, you can increase your chances of passing the EC-Council 312-50 Exam and becoming a certified ethical hacker. Remember, continuous learning and practical application of ethical hacking techniques will not only help you pass the exam but also equip you with the skills needed for a successful career in the cybersecurity industry.
Question 40:The correct options are Threat detection (B) and Data protection (C). Threat detection: Regulatory compliance often requires monitoring and detecting security threats. Having threat detection capabilities supports incident response, auditing, and risk management that compliance frameworks mandate. Data protection: Compliance heavily focuses on protecting sensitive data (encryption, access controls, data handling, and auditing). Data protection directly demonstrates adherence to privacy and security requirements. Why not Auto scaling inference endpoints? Auto scaling is about performance and availability, not a regulatory control. It helps handle load but doesn’t by itself show compliance with security or privacy requirements. Similarly, loosely coupled microservices is an architectural pattern; while beneficial, it’s not a direct regulatory compliance capability.
Question 40:The correct options are Threat detection (B) and Data protection (C).
Question 248: Correct answer: SOAR Why: A SOAR (Security Orchestration, Automation, and Response) platform is built to pull together alerts from multiple tools (like IDS, firewalls, and DLP), run automated playbooks, and coordinate responses across the environment. This directly reduces mean time to detect and respond. How it differs from the other options: - CWPP (Cloud Workload Protection Platform): protects and monitors cloud workloads, not primarily about integrating on-prem security tools. - XCCDF: a framework for security checklists and benchmarks, not for incident orchestration. - CMDB: maintains an asset inventory and relationships; useful for understanding infrastructure but not for automated response coordination. Quick example: On an IDS alert of a potential breach, the SOAR workflow could automatically validate the alert, block offending IP, isolate the host, and open a ticket with a runbook for containment and forensics.
Question 248:
Question 245: Correct answer: D. Explanation: - The move to a lattice-based cryptographic technique targets post-quantum cryptography (PQC). Lattice-based schemes (e.g., LWE, Ring-LWE) are leading candidates because they are believed to resist quantum attacks, addressing long-term security needs. - Option A overstates perfect forward secrecy as a unique benefit of lattice-based methods. Option B incorrectly emphasizes brute-force resistance vs ECC rather than quantum resistance. Option C mentions ephemeral key exchange and signatures, which are not unique to lattice-based PQC. Option E describes homomorphic processing, not a primary motivation for switching to PQC. Key concept: Replacing ECC with lattice-based crypto is about ensuring security against quantum adversaries and future-proofing cryptographic agility, not about traditional classical performance or other features.
Question 245:
Question 211: Answer: C — The codebase lacks traceability to functional and non-functional requirements. Why this supports formal methods: Formal methods use rigorous, mathematically-based verification to prove that software meets its specified goals. If the codebase cannot be traced back to its functional and non-functional requirements, there’s no solid ground to apply formal proofs or verification. Traceability ensures each component, requirement, and test can be linked and verified, which is essential for formal verification efforts in safety-critical avionics. Why the other options are less direct: - BOM missing libraries: relates to supply chain and security, not the correctness guarantees formal methods provide. - Lacking dynamic/interactive testing standards: about testing practices, not the formal verification of requirements. - Inefficient memory/resource management: performance issue, not directly about proving correctness against requirements. Takeaway: In safety-critical systems, aligning code with explicit requirements via traceability is a prerequisite for applying formal methods effectively. This helps establish verifiable correctness and safety properties.
Question 211:
Question 206:Answer: STRIDE STRIDE is a threat-modeling framework that organizes threats into six categories: Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege. The CISO’s concerns map directly to STRIDE: - Denial of Service ? high availability (99.999% uptime) - Information Disclosure ? ensuring users only view data they’re authorized to see Why not the others: - CAPEC catalogs attack patterns, not a threat-modeling framework for system-level threats. - ATT&CK is a knowledge base of attacker techniques, not a formal threat-modeling framework. - TAXII is a threat intel exchange protocol, not used for threat modeling. So STRIDE directly addresses the CISO’s availability and data-access concerns.
Question 206:Answer: STRIDE
Question 192: Answer: B — The samples were probably written by the same developer. Why this is correct: - The code shows consistent naming conventions and coding style across both samples (e.g., knockEmDown, sendC2, toString(), address.keepAlive("paranoid"), target.toShell(e)). - Such stylistic similarities strongly suggest a common author or shared template, which is a common basis for attributing malware to the same developer. Why the other options are less likely: - A: Telemetry buffering mode isn’t shown or established as the key indicator for authorship. - C: Use of IP connectivity for C2 could be common across malware families; it doesn’t imply authorship. - D: inferring which sample is the target agent vs. C2 server isn’t supported by the observable similarities.
Question 192:
knockEmDown
sendC2
toString()
address.keepAlive("paranoid")
target.toShell(e)
Cannot open my exm file
Question 8: Answer: No. The solution does not meet the goal. Why: - For an Azure Internal Load Balancer (ILB) used as a listener for a SQL Server Always On availability group, the health probe must be a TCP probe on the port used by the AG listener (default is port 1433, or the port you configured). - An HTTP health probe cannot reliably validate SQL Server endpoints, so it won’t correctly reflect the health of the AG listener. What to configure instead: - Create an ILB with a backend pool that includes the VMs hosting the AG replicas. - Create a TCP health probe on port 1433 (or the actual listener port). - Create a load-balancing rule for the AG listener port to route to the backend pool. Key concept: ILB health probes must align with the service being load-balanced. SQL Server endpoints require TCP checks, not HTTP checks.
Question 8:
Question 108: Correct answer: A Why: A flat internal cloud network means all hosts can reach each other and any public-facing storage may be exposed. Implementing segmentation with ACLs restricts which networks/hosts can access sensitive file storage, reducing exposure and limiting blast radius. Why not the others: - B (logging/monitoring to SIEM) helps detect issues but doesn’t prevent exposure caused by a flat network. - C (MFA for cloud storage) improves authentication but doesn't address insecure network access to storage. - D (IDS) detects threats after they occur and doesn’t restrict access to the sensitive locations.
Question 108:
Question 82:I can’t view the [Image] in Log entries. If you paste the text of Log entry 1–4 or describe the payloads, I can identify which shows the exploitation. In general, for a zero-day command injection, look for: Log entries showing input that appears to be passed to a shell or OS command (e.g., attempts to execute ls, whoami, uname -a, or wget/curl from a web input). Use of command metacharacters in user input (e.g., ;, &, |, $(), ${...}, backticks). HTTP requests with suspicious query strings or POST bodies that include shell-like commands or encoded payloads. Unexpected process creation or web server issuing OS commands (e.g., new /bin/sh or cmd.exe spawned). How to decide which is evidence: Compare entries for evidence of command execution originating from user input. Check for anomalies that shouldn’t be possible from normal traffic (rare file writes, new executables, or outbound connections triggered by web input). Correlate with timing and any known vulnerability active window. If you share the actual logs, I’ll pinpoint which one indicates exploitation and explain why.
Question 82:I can’t view the [Image] in Log entries. If you paste the text of Log entry 1–4 or describe the payloads, I can identify which shows the exploitation. In general, for a zero-day command injection, look for:
ls
whoami
uname -a
wget/curl
;
&
|
$()
${...}
/bin/sh
cmd.exe