Introduction to Malware Analysis

Malware analysis is the process of understanding the behavior, origin, and impact of malicious software. As cyber threats evolve, organizations and security researchers must continuously analyze and mitigate the risks posed by malware. From uncovering how malware infiltrates systems to developing robust defense mechanisms, malware analysis plays a crucial role in cybersecurity.

In this blog, we’ll explore the fundamentals of malware analysis, various malware types, methodologies used in analysis, and advanced techniques employed by cybercriminals. Whether you’re a beginner or an experienced analyst, this guide offers insights into the world of malware research and detection.

What is Malware?

Malware, short for malicious software, refers to any software designed to disrupt, damage, or gain unauthorized access to computer systems. It’s been a cybersecurity concern since the early days of computing, evolving into sophisticated threats targeting individuals, businesses, and governments.

The primary objectives of malware include stealing sensitive data, spying on user activity, disrupting services, and demanding ransom payments. Infamous attacks like WannaCry and Emotet have caused widespread damage, underscoring the need for effective analysis.

Examples of Malware in Action

Think of malware as a digital burglar—it sneaks in, manipulates your data, and tries to stay hidden. A Trojan horse, for instance, might disguise itself as a legitimate app while secretly recording keystrokes or exfiltrating credentials. Fun fact: if "we" were malware—just joking—it’d be a sneaky piece of software snagging your credentials!

Why Analyze Malware?

Types of Malware

Common Types

Advanced Techniques

Basic Malware Analysis Methodologies

Static Analysis

Static analysis involves examining malware without executing it, revealing its structure and functionality through code and resources.

Tools like PE Explorer, IDA Pro, and Ghidra are key for static analysis. For example, extracting strings might reveal a command-and-control (C2) server address.

Dynamic Analysis

Dynamic analysis runs malware in a controlled environment (e.g., sandbox) to observe its real-time behavior safely.

For instance, running malware in Cuckoo Sandbox can expose network connections or data exfiltration attempts.

Deep Dive: Windows APIs and Malware Interaction

Malware often leverages Windows APIs to manipulate processes, memory, and system settings.

Process Management APIs

Memory Manipulation

DLL Injection Techniques

DLL injection forces a legitimate process to load a malicious DLL:

Example: Injecting into explorer.exe to evade security software.

Registry Manipulation

Understanding the Portable Executable (PE) File Format

The PE file format is central to Windows malware:

Common Indicators of Malicious PE Files

Example: Analyzing a PE file to locate its entry point or detect obfuscation.

Reverse Engineering Malware

Reverse engineering decompiles malware to study its logic using tools like IDA Pro, x64dbg, and Ghidra.

Example: Using x64dbg to trace a keylogging malware’s behavior.

Advanced Malware Behavior

Persistence Mechanisms

Example: Malware creating a service that runs on every startup.

Network-Based Behavior

Example: Analyzing HTTP/HTTPS traffic to a C2 server.

YARA Rules for Malware Detection

YARA identifies malware via pattern matching. Here’s a basic rule:

rule RansomwareDetection {
    strings:
        $s1 = "encrypt"
        $s2 = "AES"
    condition:
        $s1 and $s2
}
      

Advanced techniques include scanning PE modules, ELF files, or memory for fileless malware.

Building Your Own Malware Lab

Set up a secure lab with virtual machines and isolation:

Best Practices

Legal Note: Be aware of laws regarding malware analysis and distribution.

Case Study: Analyzing Real-World Malware

Let’s explore analyzing Zeus or Emotet:

Windows APIs Commonly Abused for Malicious Purposes

Process Injection APIs

HANDLE hThread = CreateRemoteThread(hProcess, NULL, 0, (LPTHREAD_START_ROUTINE)pFunction, pArg, 0, NULL);
      

Process Manipulation APIs

Persistence Mechanism APIs

File and Directory Manipulation APIs

Network Communication APIs

Memory Manipulation APIs

Obfuscation and Anti-Debugging APIs

Credential Stealing APIs

Resources for Malware Analysis

Deepen your knowledge with these:

Stay tuned—more on dynamic/static analysis to come (8-10 tomorrow)!