LOADING...
Services
Detect and eliminate malware for your system security.
This involves examining the malware's code without executing it. Analysts inspect the binary or executable file to understand its structure and identify any embedded code, libraries, or strings that could indicate malicious behavior.
Tools commonly used in static analysis include disassemblers, decompilers, and hex editors.
While static analysis is fast and relatively safe, it might not provide a full picture of the malware's capabilities, especially if the malware is obfuscated or encrypted.
This method involves executing the malware in a controlled environment (like a sandbox or virtual machine) to observe its behavior in real time. Analysts monitor how the malware interacts with the operating system, network, and other software.
Dynamic analysis can reveal how the malware operates, what changes it makes to the system, what files it creates or modifies, and what network connections it establishes.
It provides insights into the malware’s runtime behavior, making it possible to understand its full functionality and identify IOCs.
In-depth examination of the malware’s source code (if available) or the decompiled code. This is the most granular form of analysis and involves reverse engineering to understand the specific algorithms and logic employed by the malware.
Code analysis is often used for complex threats like advanced persistent threats (APTs) or zero-day exploits, which require detailed understanding to develop appropriate countermeasures.
Preparation
Set up a controlled environment, such as an isolated virtual machine or sandbox, to safely execute and analyze the malware without risking infection of other systems.
Ensure tools for both static and dynamic analysis are readily available.
Initial Examination
Perform basic static analysis to identify the malware type, file format, size, and any readable strings that might provide clues about its functionality.
Behavioral Observation
Execute the malware in a controlled environment and observe its behavior, including file system changes, network activity, and any processes it spawns.
Deep Analysis
Use more advanced techniques like code decompilation, debugging, and manual code review to understand the malware's inner workings, such as its payload delivery mechanism, persistence methods, and evasion tactics.
Preparation of YARA & SIGMA Rules
Yara: A tool primarily used for identifying and classifying malware samples based on textual or binary patterns. Yara rules are used to create signatures that describe various malware families or specific malicious behaviors within files. It is especially useful for detecting and categorizing malware in a wide range of file formats (e.g., executables, documents, scripts).
Sigma: A rule format for writing detections that are SIEM (Security Information and Event Management) system-agnostic. Sigma rules are designed to identify suspicious activities in log data, making them valuable for detecting malware behaviors and post-compromise actions.
Documentation and Reporting
Document all findings, including the malware’s capabilities, IOCs, and any recommended remediation or mitigation strategies.
Share the results with relevant stakeholders, such as incident response teams or threat intelligence analysts.
Improved Threat Detection: By understanding how malware operates, security teams can develop better detection mechanisms to identify similar threats in the future.
Enhanced Incident Response: Detailed knowledge of the malware helps in quickly containing and eradicating it from infected systems.
Development of Mitigation Strategies: Understanding malware behavior allows organizations to implement stronger defenses and reduce vulnerabilities.
Threat Intelligence Sharing: Analyzing malware contributes to the broader community by sharing threat intelligence, helping others to recognize and defend against similar threats.
Do you need malware analysis? We’re here!