Domain Generation Algorithm

Created the Tuesday 23 April 2019. Updated 6 months, 2 weeks ago.

Domain generation algorithms (DGAs) are algorithms used by malware to generate a large number of domain names that can be used as communication channels with their command and control servers. These domain names are generated periodically, typically using a pseudorandom number generator.

The use of DGAs makes it difficult for law enforcement and other security actors to shut down botnets, as infected computers will attempt to contact some of these domain names every day to receive updates or commands. The use of public-key cryptography in the malware code also makes it difficult to mimic commands from the malware controllers.

DGAs are commonly used by malware families such as Zeus, Andromeda, and Necurs to establish communication channels that are hard to detect and disrupt. This allows the malware to receive instructions from the attackers and carry out various malicious activities, such as stealing sensitive information, spreading to other devices, or launching attacks on other systems.

Code Snippets

Additional Resources

External Links

The resources provided below are associated links that will give you even more detailed information and research on current evasion technique. It is important to note that, while these resources may be helpful, it is important to exercise caution when following external links. As always, be careful when clicking on links from unknown sources, as they may lead to malicious content.

Subscribe to our Newsletter

The information entered into this form is mandatory. It will be subjected to computer processing. It is processed by computer in order to support our users and readers. The recipients of the data will be :

According to the Data Protection Act of January 6th, 1978, you have at any time, a right of access to and rectification of all of your personal data. If you wish to exercise this right and gain access to your personal data, please write to Thomas Roccia at

You may also oppose, for legitimate reasons, the processing of your personal data.