What is Malware Analysis?

Malware analysis is the process of analyzing malicious software to understand its behavior, identify its capabilities, and develop methods for detecting and removing it. Malware can include viruses, Trojans, worms, and other types of malicious software that are designed to compromise an organization's IT infrastructure.

 

Malware analysis can help organizations understand how malware works, identify potential vulnerabilities in their systems, and take appropriate steps to prevent malware infections.

There are several different techniques for malware analysis, including static analysis and dynamic analysis. Static analysis involves analyzing the code of the malware without actually executing it, while dynamic analysis involves executing the malware in a controlled environment to observe its behavior. The goal of malware analysis is to identify the characteristics of the malware, such as its file name, its network activity, and the system changes it makes. This information can then be used to develop effective methods for detecting and removing the malware.

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By conducting regular malware analysis activities, organizations can stay ahead of potential security threats and prevent security incidents before they occur. This can help organizations reduce the risk of data breaches, theft of sensitive information, and other security incidents. Malware analysis should be conducted on a regular basis to ensure that an organization's security defenses remain effective against the evolving threat landscape.

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Our team members are world-experts in malware analysis.

Here is a short list of our expertise:

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1. Reverse Engineering: Breaking down the code of the malware to understand how it works, including its capabilities, limitations, and vulnerabilities.

2. Behavioral Analysis: Executing the malware in a controlled environment to observe its behavior, such as network activity, system changes, and file modifications.

3. Dynamic Analysis: Running the malware in a sandbox environment to analyze its behavior in real-time.

4. Code Analysis: Analyzing the source code of the malware to identify vulnerabilities or weaknesses that can be exploited.

5. Network Analysis: Analyzing network traffic to and from the infected system to identify any communication between the malware and its command and control server.

6. Malware Family Attribution: Identifying the malware family or group to which the malware belongs.

7. Packer Analysis: Analyzing the packer used to obfuscate the code and evade detection.

8. APT Research: Analyzing the malware used in Advanced Persistent Threats (APTs) to identify the attackers, their motivations, and any vulnerabilities they may have exploited.

9. Memory Forensics: Analyzing the memory of a compromised system to identify any malicious code or activity that may have been loaded into memory.

10. UEFI Analysis: Analyzing the firmware to identify any potential vulnerabilities or malicious code that may have been installed.