Welcome to the CHFI Simulation. You will learn to identify appropriate tools for static malware analysis and interpret Portable Executable (PE) headers. This scenario tests your ability to extract imported functions from a suspicious binary without executing it.

CHFI (312-49) Digital Forensics Simulation

Investigation Scenario

During a malware-analysis investigation in San Jose, California, an enterprise security team isolated a suspicious Windows executable (`invoice_update.exe`) delivered via a phishing campaign. The incident response team has provided the digital forensics unit with a preserved copy of the binary.

The investigator must perform static analysis to understand the binary's capabilities, specifically examining the functions it imports from external libraries (DLLs), without risking execution in a live environment. Understanding these imports will help determine if the malware possesses networking capabilities, file manipulation routines, or evasion tactics.

Evidence Collected

[Preserved Evidence: Malicious_Payload.zip] Target OS Context: Windows 10 Enterprise -- File Metadata -- File Name: invoice_update.exe MD5: 5d41402abc4b2a76b9719d911017c592 SHA-256: 2cf24dba5fb0a30e26e83b2ac5b9e29e1b161e5c1fa7425e73043362938b9824 File Type: Win32 EXE (Portable Executable) -- Initial Triage Notes -- - Execution in sandbox shows signs of anti-analysis behavior (terminates if VM detected). - Investigator requires static extraction of the Import Address Table (IAT) to map potential capabilities (e.g., networking, file manipulation).

Question

Question: In a malware-analysis investigation in San Jose, California, an analyst is performing static analysis on a suspicious Windows executable. The analyst wants to view the list of functions that the executable imports from external libraries (DLLs). Which tool should the analyst use?

Hint: Static analysis involves examining the file without running it. Look for a tool specifically designed to parse the structural headers (like the Import Address Table) of a Windows Portable Executable file.

Expert Analysis

1. What evidence shows:

The forensic analyst is handling a suspicious Windows executable (`.exe`). Because dynamic analysis is hindered by anti-analysis behaviors, the investigator must rely on static analysis. The primary goal is to map the binary's potential capabilities by extracting the Import Address Table (IAT) without executing the payload.

2. Identify forensic stage:

Examination & Analysis phase. Specifically, the static malware analysis sub-phase, where binary structures are evaluated to form a hypothesis about the malware's behavior.

3. Why correct answer is correct (A):

A. PE Explorer: PE Explorer is a dedicated static analysis tool designed to inspect the inner workings of Windows 32-bit executables (Portable Executable format). It allows analysts to view file headers, section properties, and crucially, the export and import tables. By examining the imports, an investigator can see exactly which API functions the executable requests from the OS via DLLs (e.g., `ws2_32.dll` for networking, `kernel32.dll` for process manipulation).

4. Why others are wrong:

5. Real-world forensic action:

The investigator would load the isolated `invoice_update.exe` into a PE analysis tool like PE Explorer, CFF Explorer, or PEStudio within a secure, air-gapped forensic workstation. The analyst would document calls to suspicious APIs such as `VirtualAllocEx` and `CreateRemoteThread` to hypothesize process injection techniques before continuing the investigation.

MINI LESSON: PE Header Analysis
Understanding the Portable Executable (PE) format is crucial for malware forensics. The PE format contains metadata that instructs the Windows OS loader on how to execute the file:
1. Import Address Table (IAT): Reveals what external DLLs and functions the malware relies on. Importing `wininet.dll` strongly suggests internet connectivity, while `advapi32.dll` might indicate registry manipulation.
2. Export Table: Often used by DLLs to show what functions they provide to other programs, but also used by malware to hide routines or act as dropped payloads.
3. Sections: Analyzing the entropy and sizes of `.text`, `.data`, and `.rsrc` sections can quickly reveal if the binary is packed or contains embedded secondary payloads.

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