BlackFog collected threat statistics on a global basis for Q4 of 2019. What follows is a summary of the data exfiltration across all endpoints including Windows, Mac, Android and iOS devices.
Dark Web
BlackFog saw a steady increase in Dark Web exfiltration over the quarter representing 1.71% of traffic, an increase from Q3 but down overall from the first half the year. However, BlackFog saw a sustained increase in PowerShell attacks in Q4 at 6.63%, which is the second highest we have seen with the exception of Q3, which was close to 8%. October was in fact the highest we have seen all year with over 10%. This reflects the increased use of the PowerShell for fileless attacks and the increase in the number of ransomware attacks globally.
Geographic Exfiltration
BlackFog reported an increase in data exfiltrated to Russia this quarter, totaling 14.47% compared to 13.5% in the previous quarter. Exfiltration to China remained relatively stable at 2% compared with 2.12% in the previous quarter.
Direct IP's and Spyware
Spyware increased significantly this quarter from 1.57% to 2.61%, and the use of direct IP's for communicating with servers represented 38.57% of all attacks.
Major Threat Vectors
Share This Story, Choose Your Platform!
Related Posts
The Role of Wireless Intrusion Detection: Guard Against Invisible Threats
Learn everything you need to know about wireless intrusion detection and why it should have a place in your cybersecurity strategy.
IPS Tools in Cybersecurity: Still Essential in 2025?
Learn why businesses need IPS tools and how these offerings work to boost cybersecurity defenses.
IDS vs IPS: What’s the Difference and Why Do You Need Both?
Understanding the differences in IDS vs IPS technology and what each is capable of is essential in building a comprehensive cybersecurity defense strategy.
What Makes Deep Learning in Cybersecurity Different and Why it Matters for Cybersecurity
Explore how deep learning in cybersecurity offers advanced threat detection, behavioral analytics and real-time responses.
5 Key Challenges When Adopting AI and Machine Learning in Cybersecurity
While AI and machine learning in cybersecurity offer powerful benefits, businesses face major challenges when adopting these technologies. Learn what to expect and how to prepare.
Machine Learning in Cybersecurity: Tactics and Trends
Find out how machine learning in cybersecurity is transforming how businesses can defend against increasingly sophisticated hacking attacks in our comprehensive guide to these trends.