Malware authors spend a great deal of time and effort to develop complex code to perform malicious actions against a target system. It is crucial for malware to remain undetected and avoid sandbox analysis, antiviruses or malware analysts. With this kind of technics, malware are able to pass under the radar and stay undetected on a system. The goal of this free database is to centralize the information about malware evasion techniques.
This project aims to provide Malware Analysts and Defenders with actionable insights and detection capabilities to shorten their response times.
Why malware use defense evasion techniques?
One of a big challenge is to detect the malware the fastest possible but also to understand its capabilities. Using self defending techniques increase the time of detection and analysis and allow the malware to perform malicious actions.
If malware is detected just after having been propagated it has little time to steal data or to maximize its impact. The Cybersecurity market is becoming more mature and security tools and applications are today more efficient. However attackers understand and monitor the operation of these tools also.
In addition to that, best practices are not always respected. If a malware evade the antivirus, the sandbox, the firewall and other, it has the time to steal data during the time where it stays undetected. As well, once the malware is caught, it will be analysed by a security analyst that will statically and dynamically analyse it, then create a detection signature.
This time is critical for malware but also for companies:
- For attackers, the longer the time of detection, the more malicious actions the malware can perform against its target.
- For companies the shorter the time of detection, the less malicious actions the malware can perform.
It is a big challenge for both companies and attackers.
Behind the Scene
How to contribute?
Get in touch with our team for:
- Adding a new technique to the database.
- Modifying or updating an existing technique.
- Adding a new code snippet for an existing technique.
Contribution is actually only possible through our official Github repository.
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