Pass the ECCouncil CEH v13 312-50v13 Questions and answers with CertsForce

CEH teaches that insufficient input validation on mobile applications enables code injection attacks. Injecting JavaScript or crafted payloads into fields validates whether the application improperly processes untrusted data. If executed, it confirms that the app is vulnerable to injection-based attacks.

A wrapper is the most accurate choice because it describes a technique where a legitimate program is bundled together with a malicious payload so that, when the user launches what appears to be a normal installer or application, both the real software and the malware run. CEH materials commonly explain wrappers in the context of Trojanization: the attacker “wraps” a trusted executable or installer with an additional hidden component. This preserves normal functionality to avoid suspicion while still achieving covert execution of the malicious code. In the scenario, the PDF converter installs and works as expected, but a hidden executable runs silently and begins outbound communication—this is classic wrapper behavior designed to maintain user trust and reduce detection through normal user experience.

The other options do not fit as well. A downloader is malware whose primary purpose is to fetch additional payloads from the network; while outbound communication occurs here, the scenario emphasizes bundling and simultaneous execution with a legitimate installer, not primarily downloading. A packer is used to compress/obfuscate an executable to evade signature-based detection; it changes how a binary looks, but it does not inherently describe combining a legitimate installer with another payload. A dropper is designed to deliver and install malware onto a system, often extracting the payload; however, the hallmark detail here is that the legitimate application runs normally while the malicious component is hidden within the same package, which aligns more precisely with a wrapper/Trojanized installer.

Defensively, CEH recommends controls such as application allowlisting, verifying digital signatures and hashes, using trusted software repositories, endpoint detection and response, and monitoring unusual outbound connections after software installation

The correct answer is C. Regenerate the session ID after a successful login to prevent session fixation attacks because the weakness described is the textbook condition for session fixation. In session fixation, an attacker sets or predicts a victim’s session identifier before the victim authenticates (for example, by sending a crafted link containing a session ID, forcing a known token into the victim’s browser via a URL parameter, or leveraging an application behavior that creates a session for unauthenticated users). If the application fails to issue a new session identifier after authentication, the attacker can reuse the already-known session ID once the victim logs in, effectively taking over the authenticated session.

The scenario explicitly states that “the same authentication token assigned before login continues to be valid without being refreshed,” and that the attacker could “trick a victim into authenticating with a value already known to the attacker.” Those statements describe session fixation precisely: authentication is “bound” to a pre-existing session identifier rather than a newly generated post-login token. The most direct and widely recommended mitigation is to invalidate the old session and regenerate a fresh session ID immediately after successful authentication (and also after privilege changes such as elevating to an admin role). This breaks the attacker’s knowledge advantage, because even if they forced a pre-login session ID, it becomes useless after login.

Why the other options are less correct: A (SSL/TLS) protects confidentiality and integrity in transit but does not prevent an attacker from fixing a session ID if they can set it through other means. B (restrictive cache directives) helps prevent sensitive pages from being stored in caches but does not address session ID reuse. D can reduce exposure by limiting pre-auth sessions, but many applications legitimately require them (shopping carts, CSRF tokens), and it is not as direct or complete as regenerating the session identifier at authentication boundaries.

Therefore, the correct countermeasure is to regenerate the session ID after login.

CEH explains that SQL injection testing should begin with controlled, intentional manipulation of SQL syntax to determine whether user input is improperly concatenated into backend queries. While destructive queries like DROP TABLE are not recommended in real-world ethical hacking engagements, CEH uses this example as a conceptual demonstration of how SQLi can influence database commands. In practice, a penetration tester would more safely use benign tautologies such as ' OR ' 1 ' = ' 1 to test whether unauthorized data is returned. However, within CEH’s theoretical framing, injecting a clearly malicious SQL command demonstrates whether the input is executed at the database level. This validates improper sanitization, the use of dynamic SQL queries, and missing parameterized input handling. CEH stresses that SQLi is among the most critical vulnerabilities because it allows attackers to bypass authentication, exfiltrate data, or manipulate the database structure. XSS, brute-forcing, and directory traversal do not test SQL query manipulation and therefore do not confirm SQL injection.

The correct answer is A. A collision attack targets a hash function by attempting to find two different inputs that produce the same hash output. In CEH cryptography topics, hashing is a one-way mathematical function used mainly to verify integrity, not to encrypt data. A good hash should produce a unique fixed-length digest for each different input, and even a tiny change in the original data should create a very different hash value. CEH material states that, in hash algorithms, a collision occurs when two or more distinct inputs produce the same output. It also explains that collision attacks are attacks against hashing algorithms where two or more files create the same output, which should not normally happen. Option B is incorrect because public keys relate to asymmetric cryptography, not hash collisions. Options C and D are incorrect because collision attacks do not split hashes to recover plaintext or private keys.

The Certified Ethical Hacker (CEH) Incident Response lifecycle begins with Identification, followed by containment, eradication, recovery, and lessons learned. CEH documentation stresses that understanding the scope and nature of an incident is critical before taking disruptive action.

Option A is the correct initial response because it focuses on real-time monitoring and log analysis, which are essential during the identification phase. CEH materials emphasize analyzing logs, authentication failures, and traffic anomalies to confirm whether an incident has occurred and determine the attacker’s techniques, persistence level, and impact.

Option B, while valuable, is more appropriate after initial identification. Conducting deep outbound traffic audits without first understanding the attack vector can delay containment decisions.

Option C is premature. CEH warns that changing credentials too early may alert the attacker and cause them to escalate or destroy evidence.

Option D represents a containment strategy, not an initial response. CEH guidelines advise against immediately disconnecting systems unless there is confirmed active data exfiltration that cannot be otherwise controlled, as this may disrupt business operations and erase volatile forensic evidence.

Therefore, the CEH-approved approach is to monitor, analyze, and identify the incident before moving to containment and eradication.

This scenario precisely matches polymorphic malware, a type of advanced malware described in CEH v13 Malware Threats. Polymorphic malware dynamically alters its code, encryption, or signature each time it propagates, allowing it to evade traditional signature-based antivirus detection.

Additionally, the malware’s ability to remain dormant until triggered indicates logic-based activation, which is common in advanced threats designed to avoid sandbox detection.

CEH v13 emphasizes that polymorphic malware cannot be reliably detected using static signatures. Instead, organizations must rely on behavior-based detection, heuristic analysis, and advanced threat protection systems capable of identifying suspicious runtime behavior.

Options A, C, and D do not match the described behavior. Adware focuses on advertising. Worms self-propagate aggressively. Rootkits focus on stealth and persistence, not code mutation.

Therefore, Option B is the correct answer.

This refers to the CVSS (Common Vulnerability Scoring System), which CEH v13 identifies as the industry standard for vulnerability prioritization. A score of 9.8 indicates critical severity, combining metrics such as exploitability, impact, privileges required, and scope.

CVSS helps organizations prioritize remediation objectively, focusing resources on vulnerabilities with the highest business risk. It also allows consistent communication between technical and management teams.

Options B, C, and D misrepresent CVSS functionality. Therefore, Option A is correct.

The correct answer is D. tcptrace. Tcptrace is a specialized network analysis tool designed to examine and analyze packet capture (PCAP) files generated by packet-sniffing and packet-capture applications such as tcpdump, WinDump, Wireshark, and EtherPeek. It provides detailed information about TCP connections, including throughput, round-trip times, retransmissions, packet loss, connection duration, and communication statistics.

In CEH network traffic analysis and packet-sniffing topics, captured network traffic is often stored in PCAP files for later examination. Tools such as tcptrace help security professionals, penetration testers, and incident responders analyze network communications, troubleshoot performance issues, identify anomalies, and investigate security incidents.

Option A (OpenVAS) and Option B (Nessus) are vulnerability scanners used to identify security weaknesses in systems and networks. Option C (tcptraceroute) is a network path discovery tool that traces routes using TCP packets rather than ICMP packets. Neither is intended for analyzing packet-capture files.

CEH Exam Tip:

tcpdump/Wireshark = Capture network traffic.

tcptrace = Analyze captured traffic (PCAP files).

Nessus/OpenVAS = Vulnerability assessment tools.

Therefore, tcptrace is the correct tool for analyzing packet-capture files created by multiple packet-capture applications.

CEH v13 distinguishes between vertical and horizontal privilege escalation. Vertical escalation occurs when an attacker moves upward in the hierarchy of privileges—such as from a regular user to an administrator or root—by exploiting vulnerabilities, misconfigurations, or insecure privilege boundaries. This allows the attacker to perform tasks that were previously restricted, such as modifying system settings, accessing sensitive data, installing malware, or controlling the entire environment. Horizontal escalation, on the other hand, involves accessing another user’s resources at the same privilege level, which the other options describe. Exploiting unquoted service paths or weak access controls may facilitate privilege abuse, but they do not inherently elevate the user to a higher privilege tier unless they specifically lead to administrative execution. The scenario that aligns perfectly with the CEH definition of vertical privilege escalation is the escalation from regular user to administrator.

The scenario best illustrates loss of governance because the core problem is not a specific technical exploit but a failure in management oversight, accountability, and control assignment for cloud/serverless security responsibilities. The question describes “lack of defined responsibilities for monitoring, auditing, and securing serverless services,” resulting in critical functions being “unmanaged,” which led to downtime and delayed alerts. That is a governance failure: the organization did not establish clear ownership, policies, and operational processes to ensure cloud workloads—specifically serverless functions—were properly monitored, audited, and secured.

In cloud environments, governance includes defining roles and responsibilities (shared responsibility model understanding), establishing security baselines, ensuring logging/monitoring coverage, enforcing configuration management, and maintaining compliance oversight. When governance is weak, services may be deployed without consistent security controls, alerts may be misconfigured or ignored, and incident response can be delayed because no team is clearly accountable. Serverless increases this risk because it can be rapidly adopted by developers, spun up quickly, and overlooked by traditional infrastructure processes if the organization’s governance framework doesn’t explicitly include it.

While “insufficient logging and monitoring” (A) is closely related, the scenario frames the root cause as management’s lack of defined responsibilities, which is broader than missing logs. It’s about the absence of governance structures that ensure logging/monitoring are implemented and owned. Privilege escalation and side-channel attacks are technical attack categories not suggested by the description.

Therefore, the cloud threat illustrated is B. Loss of governance.

The correct answer is B because an attack that abuses the intended workflow, rules, or assumptions of an application is classified as a logic flaw or business logic flaw. In web application hacking, business logic defines how the application should behave, such as pricing rules, transaction sequencing, authorization decisions, coupon use, fund transfer limits, or approval workflows. A business logic flaw occurs when those rules are incomplete, poorly enforced, or can be manipulated by an attacker. The CEH web application material explains that business logic flaws exist when the application’s core rules are not foolproof and can be exploited to compromise the application; these flaws often require careful review of architecture and design because automated scanners may not detect them reliably. XSS abuses improper output/input handling to run scripts in a browser. CSRF abuses a user’s authenticated session. SQLi abuses database query construction. The option that directly matches abusing business logic is Logic flaw.

Side-channel attacks, as explained in CEH v13 OT and SCADA Security, extract sensitive information by observing physical characteristics of a system rather than exploiting software flaws directly. These characteristics may include power consumption, electromagnetic emissions, timing variations, or thermal output.

In SCADA environments, side-channel attacks are especially dangerous because they bypass traditional network defenses. The most reliable way to confirm such an attack is by analyzing hardware-level anomalies—such as unexpected power usage spikes or irregular signal emissions during normal device operations.

Option B directly aligns with CEH v13 guidance.

Options A, C, and D focus on software, cryptography, or network behavior, which are not primary indicators of side-channel exploitation.

Therefore, Option B is correct.

CEH v13 describes Agent Smith–style attacks as malicious Android operations where an app silently replaces legitimate applications by exploiting weaknesses in the Android app update and installation processes. These attacks often begin when users download seemingly innocent apps from untrusted third-party marketplaces. Once installed, the malicious application injects harmful code into other apps, overwriting them while preserving their icons and interface, allowing the attacker to harvest credentials, display ads, or maintain persistence without detection. CEH explains that this technique takes advantage of Android’s APK structure, sideloading vulnerabilities, and lack of signature validation in compromised environments. Simjacker (Option A) targets SIM toolkit vulnerabilities and does not replace apps. Man-in-the-Disk (Option B) abuses external storage operations but does not overwrite applications. Camfecting (Option D) refers to hijacking smartphone cameras. The described malicious replacement of legitimate apps exactly matches the Agent Smith attack pattern.

The described content matches the Assessment Overview section because it focuses on how the vulnerability assessment was executed rather than what was found. An assessment report typically includes a part that explains the methodology and approach used to perform scanning so stakeholders can understand the process, validate coverage, and interpret results correctly. In this scenario, Nikhil is documenting the scanning methodology, target information, type and scope of scans, and the tools used. These elements provide context and transparency about the assessment process, assumptions, and boundaries—exactly what an overview is meant to capture.

This section is also intentionally not listing specific vulnerabilities or affected assets, which further confirms it is not the Findings section. Findings is where the report enumerates discovered vulnerabilities, affected systems, evidence, severity, and recommendations. Similarly, it is not the Risk Assessment section because that portion generally interprets the findings to determine likelihood and impact, prioritizes risks, and may map issues to business impact or compliance requirements. Since Nikhil is only describing the scanning approach and scope, risk analysis is premature and out of place.

Why not Supporting Information? Supporting information usually contains appendices or reference material that supplements the core report—such as raw scan outputs, detailed configuration data, asset inventories, screenshots, logs, tool configurations, or glossary/definitions. While tool names and technical details can appear there, the narrative about methodology, targets, scope, and scan types is more appropriately part of the main body’s overview so readers understand the assessment context before reviewing results.

Therefore, the section Nikhil is working on is C. Assessment Overview, which establishes the assessment context and explains the scanning approach prior to presenting findings and risk conclusions.