Malware Analysis

Malware analysis is the discipline that focuses on the reverse engineering of malicious software with the goal of understanding how it works.

A malware analyst seeks to answer key questions such as:

• What does this virus actually do?

• What indicators should I look for to identify infected machines?

• Does it establish external connections? If so, where and how?

  
  

This role is among the most technically complex within cybersecurity, as it requires deep, specialized knowledge built upon years of hands-on experience.

A malware analyst relies on a variety of tools and techniques that differ in complexity and time requirements.Time is the most critical factor when responding to an incident or a suspected attack.

How long does it take to determine whether an executable is malicious?

Once we confirm that it is malware, how deep should the analysis go?

Do we want to understand every single line of code?

Do we even have the time for that?

And what if we’re facing not just one, but dozens of different samples, how do we prioritize?

Malware analysis typically progresses through several stages, ordered by increasing complexity and time investment. The main objective of every analyst is to reserve the most advanced and time-consuming techniques only when truly necessary.

The process can be roughly divided into four main categories:

1. Fully Automated Analysis

2. Static Properties Analysis

3. Interactive Behavior Analysis

4. Manual Code Reversing

   
   

These categories may include either static or dynamic techniques.This distinction is not about complexity, but rather about the interaction model:

• Static analysis focuses on the executable’s properties and code without running it.

• Dynamic analysis observes the malware’s behavior during execution.

  
  

Each category can include both low and high complexity methods depending on the goal and the analyst’s expertise.

This introduction also aims to provide insight into how malware analysis is managed in practice, especially when handling large volumes of samples:

• A junior analyst may handle the first two steps (automation and static inspection).

• An intermediate analyst can perform interactive behavioral analysis.

• The final stage of manual code reversing is typically reserved for senior analysts with advanced reverse engineering skills.

  
  

A well-structured workflow allows teams to leverage human resources efficiently, assigning tasks according to experience and available time.

An increasingly relevant topic is how Artificial Intelligence is being integrated into this field.AI models are beginning to assist analysts by accelerating parts of the reverse engineering process. For example, helping to infer the function of a code block or recognize behavioral patterns.

However, the use of AI in malware analysis is still evolving. While it shows great promise in augmenting human expertise, its capabilities and limitations are yet to be fully defined and standardized.

In my opinion, malware analysis remains one of the most challenging yet fascinating branches of cybersecurity. It combines automation, human intuition, and deep technical skill to uncover the hidden logic behind malicious software.

From automated triage to manual disassembly, the ultimate goal remains the same: to understand and neutralize threats.