2017 threat predictions

Use of machine learning to enhance social engineering attacks

Gulf News

1. Ransomware attacks will decrease in the second half of 2017 in volume and effectiveness.

2. Windows vulnerability exploits will continue to decline, while those targeting infrastructure software and virtualisation software will increase.

3. Hardware and firmware will be increasingly targeted by sophisticated attackers.

4. Hackers using software running on laptops will attempt “dronejackings” for a variety of criminal or hacktivist purposes.

5. Mobile attacks will combine mobile device locks with credential theft, allowing cyber thieves to access such things as banks accounts and credit cards.

6. IoT malware will open backdoors into the connected home that could go undetected for years.

7. Machine learning will accelerate the proliferation of and increase the sophistication of social engineering attacks.

8. Fake ads and purchased “likes” will continue to proliferate and erode trust.

9. Ad wars will escalate and new techniques used by advertisers to deliver ads will be copied by attackers to boost malware delivery capabilities.

10. Hacktivists will play an important role in exposing privacy issues.

11. Leveraging increased cooperation between law enforcement and industry, law enforcement takedown operations will put a dent in cybercrime.

12. Threat intelligence sharing will make great developmental strides in 2017.

13. Cyber espionage will become as common in the private sector and criminal underworld as it is among nation-states.

14. Physical and cybersecurity industry players will collaborate to harden products against digital threats.