The scenario clearly indicates session hijacking risk caused by interception of session IDs over unsecured connections. In CEH-aligned web security, when session tokens are transmitted without strong transport encryption, an attacker positioned on the same network path can sniff traffic and capture cookies or URL- based session IDs, then reuse them to impersonate the victim. The most effective control that directly addresses interception in transit across the entire portal is enforcing SSL/TLS for all session-related communications, meaning every page and request that could carry authentication state is protected by HTTPS.
This prevents passive eavesdropping and significantly reduces the feasibility of man-in-the-middle capture of session identifiers during normal user interactions.
Option A, regenerating the session ID after login, is an important defense against session fixation, but it does not stop an attacker from stealing the new session token if it is later transmitted over plaintext HTTP. Option C, cache-control directives, helps prevent sensitive pages from being stored in shared caches or browser history, but it does not protect session IDs from network sniffing. Option D, avoiding sessions for unauthenticated users, can reduce some tracking exposure, yet the core issue here is hijacking of authenticated sessions due to unencrypted transport.
Therefore, implementing SSL/TLS across the portal, typically combined with secure cookie flags and strict HTTPS enforcement, is the correct countermeasure for the described interception-based session hijacking.

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.

CEH v13 explains that cryptographic consistency is essential for secure session management. Variable token lengths can leak information about encryption methods, key sizes, or user privilege levels, making sessions vulnerable to cryptanalysis or targeted attacks.
The most effective mitigation is implementing uniform encryption strength across all roles, ensuring consistent key sizes, algorithms, and token formats. While MFA improves authentication and key rotation improves lifecycle management, neither directly resolves cryptographic inconsistency.
CEH v13 stresses that encryption should be role-agnostic and standardized. Therefore, Option C is correct.

The CEH Footprinting and Reconnaissance module highlights Google Alerts as a key passive reconnaissance tool for monitoring changes in web content, news, and online mentions.
Option B is correct.
Option A is active engagement.
Option C aids anonymity but not monitoring.
Option D is illegal and unethical.
CEH strongly promotes automated alerting for competitive intelligence.

According to CEH v13 Security Operations and Incident Response, backdoors are stealth mechanisms that allow attackers persistent access. Indicators such as unexplained outbound traffic, unauthorized file modifications, and irregular reboots strongly suggest post-compromise persistence mechanisms.
CEH v13 recommends a behavioral and host-based detection approach for backdoor identification.
Continuous monitoring of system and file activity helps detect unauthorized binaries, registry changes, and scheduled tasks. Anomaly detection identifies deviations from normal system behavior, which is critical for uncovering hidden backdoors that evade signature-based detection.
Additionally, advanced anti-malware tools with heuristic and memory analysis capabilities are essential to identify sophisticated backdoors that traditional antivirus may miss. These tools can detect rootkits, fileless persistence, and covert communication channels.
The other options are preventative but not investigative. Immediate reboots may destroy volatile evidence, while password policies and ACLs do not detect existing compromises. Therefore, option B provides the most effective and CEH-aligned response.