312-50v13 Exam Dumps - Certified Ethical Hacker Exam (CEHv13)

SQL injection testing commonly involves using tautology-based payloads such as 1 OR 1=1, which force SQL queries to evaluate as true. CEH explains that this confirms improper input sanitization and exposes whether user-supplied fields directly influence database queries. The result often returns all records, indicating successful injection.

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 most accurate classification is Design Flaws. CEH web application guidance explains that some vulnerabilities exist not because of a coding typo or a missing patch, but because the underlying workflow, trust model, or business process is architected insecurely. In this scenario, the application relies on sequential client-driven steps for identity verification, yet the server does not independently enforce that each stage is truly completed before granting access. That means the weakness lies in the way the authentication flow was designed, specifically in trusting the client-side sequence more than it should. Poor patch management would relate to unpatched software components. Misconfigurations or weak configurations usually involve deployment or server settings. Application flaws is broader, but the question asks for the best classification, and the bypass of a security workflow due to inadequate stage enforcement is best understood as a design-level weakness. CEH references often connect such issues with business logic flaws, where attackers tamper with parameters or transaction flow to violate expected process integrity. Because the core problem is the insecure design of the multi-step validation sequence, Design Flaws is the best answer.

This attack is a classic example of Piggybacked SQL Injection, covered in CEH v13 Web Application Hacking. Piggybacked queries allow attackers to append additional malicious SQL commands to an existing query using a delimiter such as a semicolon.

The payload executes the original query followed by a destructive command (DROP TABLE). UNION-based injections retrieve data, Boolean-based injections infer logic, and error-based injections rely on error messages—not destructive execution.

CEH v13 explicitly describes piggybacked queries as capable of data destruction and privilege escalation, making Option A correct.

Passive reconnaissance focuses on collecting intelligence without interacting with the target ' s systems. CEH materials emphasize reviewing publicly available information, including leaked documents, breach data, reports, or exposed metadata, as this yields internal network structure details while generating no detectable traffic. This method avoids triggering monitoring systems and aligns with stealth requirements for covert intelligence gathering.

ARP spoofing–based session hijacking is identified in CEH v13 Web Application and Network Attacks as one of the most stealthy and difficult-to-detect session compromise techniques, especially within internal or VPN-connected networks.

In ARP spoofing, attackers poison ARP caches to position themselves as a man-in-the-middle (MitM). Once in place, they can silently intercept, modify, or replay session data—even when encryption is used—by redirecting traffic transparently between endpoints.

Option A (sidejacking) is mitigated by HTTPS. Option C (session guessing) is noisy and detectable. Option D (cookie poisoning) relies on weak validation and is easier to detect via integrity checks.

CEH v13 highlights ARP spoofing as particularly dangerous because:

It exploits trusted local network behavior

It does not require breaking encryption directly

It is often invisible to users and applications

Therefore, Option B is the most challenging to detect and mitigate and is the correct answer.

CEH covers advanced cryptanalytic attacks, including Meet-in-the-Middle (MITM) attacks, which are especially effective against multi-round symmetric encryption schemes. When an algorithm encrypts data twice using different keys, the naive brute-force method would require testing every possible combination of both keys—a time complexity of 2ⁿ × 2ⁿ. Meet-in-the-Middle dramatically reduces this complexity by splitting the problem in half. Attackers encrypt the plaintext using all potential values of the first key and store the results. They then decrypt the final ciphertext using all possible values of the second key. When an intermediate value matches one in storage, the corresponding key pair is identified. CEH highlights that this approach exploits the lack of key independence between two encryption layers, demonstrating how doubling encryption does not always double security. This attack is well-known for targeting 2DES, one of the historical examples covered in CEH. It is not related to side-channel attacks, brute-force flooding, or permutation reversal; it strictly relies on midpoint matching to reduce computational workload.

This question relates to Malware Analysis, specifically PDF-based malware, as covered in the CEH v13 Malware Threats module. The presence of /JavaScript and /OpenAction keywords identified by pdfid strongly indicates potentially malicious behavior triggered when the PDF is opened.

CEH v13 recommends static analysis of PDF stream objects as the next step to understand embedded malicious logic. Tools such as PDFStreamDumper allow analysts to extract, decompress, and inspect object streams within a PDF file, revealing obfuscated JavaScript code or exploit payloads.

The /OpenAction keyword indicates that the embedded JavaScript executes automatically when the document is opened, a common technique used in PDF-based attacks to exploit reader vulnerabilities or download secondary payloads.

Other options are insufficient:

VirusTotal provides detection results but not behavioral insight.

PE Explorer is irrelevant because PDFs are not Portable Executable files.

Hashing only helps identify known malware, not analyze behavior.

CEH v13 emphasizes manual inspection of embedded scripts to determine intent, making PDFStreamDumper the correct next step.