Detecting the Unknown: Protecting Against DGA-Based Malware

Domain Generation Algorithm (DGA)-based malware, like GameOver Zeus and CryptoLocker botnets, introduces a massive threat, not only because of the vast financial implications they impose, but also because of how difficult they are to detect. Even the FBI's efforts to stop a DGA-based operation were ineffective, as was lately discussed in a post by Lotem Guy.

In order to make a stand against complex malware, like DGA-based malware, there is a need to employ new dynamic detection approaches.

Our latest eBook offers a new approach for the detection of attacks employing Domain Generation Algorithm (DGA) techniques. Download the eBook to learn:

  • How Domain Generation Algorithm is used to avoid detection
  • An analysis of current techniques used to combat DGA-based malware and their limitations
  • A new endpoint-based approach for effective detection of DGA-based attacks

 

 

Lital Asher-Dotan
About the Author

Lital Asher-Dotan

Lital is a Marketing Team Leader, Storyteller, Technology Marketing Expert. She joined Cybereason as the first marketing hire and built a full marketing department. Specializing in brand building, product marketing, communication and content. Passionate about building ROI-driven marketing teams.