Statistics Number of malware attacks in 2022, by country Share of electronic devices infected with malware in Hungary 2020 Electronic devices infected with malware in the CEE region 2023 Most detected malware families affecting corporate networks worldwide 2023 Most prevalent malware file extensions world...
Between October 2020 and September 2021, Backdoor was the most common type of malware attack worldwide. Cyber attacks of this group amounted to 37 percent of all detected malware attacks in the measured period. Downloader ranked second, with 17 percent, while Worm followed with 16 percent among...
According to the Atlas VPN team, based onAV-ATLAS.orgstatistics, the number of new Linux malware reached record highs in 2022, with nearly 1.7 million samples discovered. Compared to 2021, new Linux malware numbers have soared by an astonishing 650 percent. This is due to the growing populari...
Malware is still a preferred attack vector. Malware is still one main problem worldwide, but the attack vectors evolve as cybercriminals change their tactics to exploit new vulnerabilities. Here are some recent malware statistics: Business-disrupting ransomware attacks are increasing: According to a r...
Mobile malware statistics In Q2 2022, there were over 5 million cyber attacks targeting just Kaspersky-protected mobile devices, using vectors such as malware, adware and riskware, according to a Kaspersky study. The same study highlighted that within that same time period, over 400,000 malicious...
Mobile threat statistics After a noticeable decrease in malicious installers in Q4 2022 due to reduced activity by Trojan-Dropper.AndroidOS.Ingopack, we observed a minor increase in new malware varieties. Number of detected malicious installation packages, Q1 2022–Q1 2023 (download) Distribution of...
The Attack Techniques that are used by Malware to Infect and Spread include: –Spyware –Rootkit –Adware –Ransomware –Botnets –Malvertising As the name suggests, Spyware is a malware intended to spy on you. The malware secretly gathers information on an unsuspecting user by hiding in the bac...
In ninth position is another dropper, this time from the Lezok family: Trojan-Dropper.AndroidOS.Lezok.p (1.76%). A notable difference between this Trojan and Hqwar is that the malware penetrates the device before it arrives at the store. This is evidenced by KSN statistics showing that the...
anomalies within vast datasets, security researchers have made significant strides in detecting and deterring a multitude of malware attacks [8,9,10]. The effectiveness of machine learning in identifying new and previously unseen attack vectors presents a promising and forward-looking approach to ...
This work’s main contribution is a methodology to inject bytes across a malware file randomly and use it both as an attack to decrease classification accuracy but also as a defensive method, augmenting the data available for training. It respects the operating system file format to make sure ...