LibraryStatic Malware Analysis Techniques

Static Malware Analysis Techniques

Learn about Static Malware Analysis Techniques as part of SANS GIAC Security Expert (GSE) Certification

Static Malware Analysis Techniques

Static malware analysis involves examining a malware sample without executing it. This approach allows for a deep understanding of the malware's structure, functionality, and potential impact without risking infection. It's a foundational skill for any cybersecurity professional, especially those aiming for advanced certifications like the SANS GIAC Security Expert (GSE).

Core Principles of Static Analysis

The primary goal of static analysis is to glean as much information as possible from the malware file itself. This includes identifying its file type, extracting embedded resources, analyzing its code structure, and detecting known malicious patterns or signatures. This is achieved through a combination of automated tools and manual inspection.

File Identification and Hashing

The first step is to identify the file type and generate cryptographic hashes (MD5, SHA-1, SHA-256). These hashes are crucial for uniquely identifying the malware sample and can be used to search threat intelligence databases for known information about it. Tools like file (Linux/macOS) or specialized PE viewers can help identify file types.

What are the primary cryptographic hashes used for malware identification?

MD5, SHA-1, and SHA-256.

String Extraction

Extracting strings from a binary can reveal valuable clues about the malware's functionality. This includes URLs, IP addresses, file paths, registry keys, command-and-control (C2) server names, and even error messages or debug information. Tools like strings (Linux/macOS) or IDA Pro's string view are commonly used.

Be aware that strings can be obfuscated or encrypted, requiring further analysis to reveal their true meaning.

Disassembly and Decompilation

Disassembly converts machine code into assembly language, providing a low-level view of the program's instructions. Decompilation attempts to convert assembly or machine code into a higher-level language (like C), making it more human-readable. This is where the core logic of the malware is understood. Powerful tools like IDA Pro, Ghidra, and Binary Ninja are indispensable for this phase.

Disassembly involves translating machine code (binary instructions) into assembly language. Assembly language uses mnemonics to represent low-level operations, making it more understandable than raw binary. A disassembler analyzes the executable file and presents these instructions in a human-readable format, showing the flow of control and data manipulation. This is a critical step in understanding how the malware operates at its most fundamental level. For example, an instruction like MOV EAX, 1 in assembly translates to moving the value 1 into the EAX register, a fundamental operation in x86 architecture.

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Import and Export Table Analysis

Executable files often have import and export tables. The import table lists the functions the malware intends to use from external libraries (DLLs), which can reveal its intended actions (e.g., network functions, file system operations, registry manipulation). The export table lists functions the malware makes available for other programs to use, though this is less common in typical malware.

Resource Extraction

Many malware samples embed additional files, configurations, or scripts within themselves as resources. These can include configuration files, encrypted payloads, or even other executables. Tools like Resource Hacker or PEview can be used to extract these embedded resources.

Packing and Obfuscation Detection

Malware authors often use packers and obfuscation techniques to make static analysis more difficult. Packers compress or encrypt the original executable, requiring unpacking before analysis. Obfuscation techniques alter the code's structure without changing its functionality. Identifying these techniques is a crucial preliminary step.

Advanced Static Analysis Techniques

Beyond the basic techniques, advanced static analysis involves deeper dives into the malware's code and structure.

Control Flow Graph (CFG) Analysis

A Control Flow Graph visualizes the execution paths within a program. Analyzing the CFG helps understand decision points, loops, and the overall logic of the malware, especially in complex or obfuscated code.

Data Flow Analysis

This technique tracks how data is used and transformed throughout the program. It's essential for understanding how the malware processes sensitive information, constructs network requests, or manipulates system settings.

Signature-Based Detection

Using known malware signatures (patterns of bytes or code sequences) to identify malicious files. While effective for known threats, it's less useful against novel or heavily modified malware.

YARA Rule Creation

YARA is a powerful tool for creating custom rules to identify malware families or specific malicious behaviors based on strings, hexadecimal patterns, and metadata. This is a key skill for proactive threat hunting and analysis.

Tools for Static Malware Analysis

A robust toolkit is essential for effective static analysis. The choice of tools often depends on the operating system and the specific analysis task.

ToolPrimary FunctionPlatform
IDA ProDisassembler/DecompilerWindows, Linux, macOS
GhidraDisassembler/Decompiler (Free)Windows, Linux, macOS
Binary NinjaDisassembler/DecompilerWindows, Linux, macOS
PEviewPE File ViewerWindows
Resource HackerResource EditorWindows
stringsString ExtractionLinux, macOS, Windows (via Cygwin/WSL)
YARAPattern Matching/Rule CreationCross-platform

Challenges in Static Analysis

Despite its power, static analysis faces significant challenges. Malware authors constantly evolve their techniques to evade detection. Common challenges include sophisticated packing, encryption, anti-disassembly tricks, and polymorphic/metamorphic code. Overcoming these often requires a combination of static and dynamic analysis.

Conclusion

Mastering static malware analysis is a critical step towards advanced cybersecurity expertise. By systematically examining malware without execution, analysts can uncover its inner workings, identify threats, and develop effective defenses. Continuous learning and practice with various tools and techniques are key to staying ahead of evolving malware.

Learning Resources

IDA Pro Book(documentation)

A comprehensive guide to using IDA Pro, the industry-standard disassembler, covering advanced techniques for reverse engineering.

Ghidra Software Reverse Engineering Framework(documentation)

The official website for Ghidra, a free and open-source software reverse engineering suite developed by the NSA, offering powerful analysis capabilities.

Malware Analysis Techniques(blog)

A practical guide to various malware analysis techniques, with a focus on static analysis, from a seasoned security researcher.

Practical Malware Analysis: A Hands-On Guide(book)

A highly-regarded book that provides a step-by-step approach to malware analysis, covering both static and dynamic techniques with practical examples.

YARA Rules Documentation(documentation)

Official documentation for YARA, the pattern-matching tool used to identify and classify malware, with examples of rule creation.

Introduction to Reverse Engineering(video)

A foundational video explaining the basics of reverse engineering and its importance in malware analysis.

Windows PE File Format(documentation)

Microsoft's official documentation detailing the Portable Executable (PE) file format, crucial for understanding Windows executables.

Reverse Engineering Malware (REM) Course(tutorial)

A comprehensive online course that covers various aspects of malware analysis, including extensive sections on static analysis.

Understanding Malware Packers(blog)

An insightful blog post explaining how malware packers work and strategies for dealing with them during static analysis.

Static Analysis of Malware(paper)

A white paper from SANS Institute discussing the principles and methodologies of static malware analysis.