Download Full Version 312-49v11 ECCouncil Exam

Option C. DFU Mode is the best answer because the scenario requires access to system-level device information such as IMEI and serial number without interacting with user data or relying on passcode entry. CHFI v11 covers mobile phone evidence analysis , data acquisition methods , logical and physical acquisition of Android and iOS devices , iOS architecture and boot process , and challenges in mobile forensics . These objectives support the need to use controlled acquisition states that minimize user-data interaction while still enabling low-level device communication.

DFU (Device Firmware Update) mode is a low-level state used to communicate with the device before the full operating system and user environment are loaded. That makes it more suitable than methods that would require normal device access. Jailbreaking would alter the device state and is not appropriate here. Safe Mode is not the relevant forensic mode for iPhone hardware identification. Recovery Mode is also used for maintenance, but DFU is the deeper low-level mode and better fits a requirement focused on hardware-level information without exposing user content.

Accordingly, DFU Mode is the strongest CHFI-aligned answer for acquiring essential device-identification details while preserving forensic discipline.

Option A. Cross-Site Scripting (XSS) attack is the most probable answer because the scenario centers on session cookies being intercepted and reused by an attacker , leading to overlapping sessions and unauthorized actions. CHFI v11 explicitly includes Investigating Cross-Site Scripting, SQL Injection, and Directory Traversal Attacks and also Investigating Brute Force Attack and Cookie Poisoning Attack under web application forensics.

Among the options provided, XSS is the best fit because it is a common method used to steal or abuse session cookies . Once an attacker obtains a valid session cookie, they can hijack a logged-in session and act as the victim without needing to know the password. That explains unauthorized purchases, profile changes, and simultaneous use of the same session from different locations.

Brute force focuses on guessing passwords, not using intercepted session cookies. SQL injection targets database queries and does not directly explain cookie reuse. Parameter tampering involves modifying request values, but the stronger clue here is stolen session cookies , which aligns more closely with XSS-driven session hijacking. Therefore, under CHFI’s web-attack investigation objectives, XSS is the most likely cause among the listed choices.

Option C. It could be using kernel patching is the best answer because the scenario describes a suspicious device driver interacting with low-level system resources , which strongly suggests kernel-level rootkit behavior . In CHFI-style malware analysis, rootkits are associated with hiding malicious presence by interfering with operating-system functions at a deep level. Kernel patching allows a rootkit to alter or intercept key kernel structures or behavior, making malicious processes, files, registry artifacts, or network activity harder for standard tools to detect.

This fits the question better than the other options. Process cloaking can occur, but the clue about a driver accessing low-level resources points more directly to a kernel-oriented hiding technique. A zero-day vulnerability may be an entry method, but it is not itself the concealment technique being asked about. Hooking into a legitimate driver is possible in some cases, but kernel patching is the more direct and classic rootkit evasion method when operating at that privileged layer.

Therefore, in the context of a suspicious driver behaving like a rootkit, the most accurate CHFI-aligned answer is kernel patching .

This question aligns with CHFI v11 objectives under Computer Forensics Fundamentals and Digital Evidence and Storage Media . In forensic investigations involving servers suspected of hosting illicit content, investigators must focus on storage locations that reliably preserve data over time. CHFI v11 emphasizes that non-volatile storage —such as hard disk drives (HDDs), solid-state drives (SSDs), RAID arrays, and other persistent storage media—is the primary repository for user files, documents, system files, logs, and file system metadata.

Non-volatile storage retains data even when the system is powered off, making it essential for post-incident forensic analysis. This includes directory structures, timestamps, access control lists, deleted file remnants, and application data, all of which are critical for reconstructing user activity and determining the presence and origin of illicit content.

Volatile memory (RAM) contains temporary data such as running processes and network connections, which is useful during live analysis but does not store long-term user files. External backups and network storage may contain copies of data but are secondary sources and may not reflect the system’s current state. Therefore, consistent with CHFI v11 forensic principles, the investigator should primarily focus on non-volatile storage , as it is the most reliable and comprehensive source of persistent digital evidence.