Fortinet recently announced the findings of its latest Global Threat Landscape Report covering Q4 2016. The research reveals that 50% of malware exploits in India occurred in the last 3 months of 2016. With India moving towards a cashless digital economy the last two weeks in December, 2016 recorded a very high level of threat activity which interestingly was not observed globally. The most attacked industry was Banking & Finance which received 15 times more hits than the second-placed Information Technology industry.
The research also reveals the methods and strategies cybercriminals employed in detail and demonstrates the potential future impact to the digital economy. The question, “What’s my biggest threat?” remains difficult to pinpoint as old threats resurface, but new, automated and high-volume attacks arise. Data shows encrypted traffic using SSL stayed steady at about 50% and accounted for roughly half of overall web traffic traversing within an organization. HTTPS traffic usage is an important trend to monitor, because while it is good for privacy, it presents challenges to detecting threats that are able to hide in encrypted communications. Often SSL traffic goes uninspected because of the huge processing overhead required to open, inspect, and re-encrypt traffic, forcing teams to choose between protection and performance.
In terms of total applications detected per organization, the number of cloud applications trended up at 63, which is roughly a third of all applications detected. This trend has significant implications for security since IT teams have less visibility into the data residing in cloud applications, how that data is being used, and who has access to it. Social media, streaming audio and video, and P2P applications did not trend up sharply.
IoT devices are sought-after commodities for cybercriminals around the world. Adversaries are building their own armies of “things” and the ability to cheaply replicate attacks at incredible speed and scale is a core pillar of the modern cybercrime ecosystem. Internet of Things (IoT) devices compromised by the Mirai botnet initiated multiple record-setting DDoS attacks. The release of Mirai’s source code increased botnet activity by 25 times within a week, with activity increasing by 125 times by year’s end.
Mobile malware has become a larger problem than before. Though it accounted for only 1.7 percent of the total malware volume, one in five organizations reporting malware encountered a mobile variant, nearly all was on Android. Substantional regional differences were found in mobile malware attacks, with 36 percent coming from African organizations, 23 percent from Asia, 16 percent from North America, compared to only 8 percent in Europe. This data has implications for the trusted devices on corporate networks today.
H-Worm and ZeroAccess had two of the highest prevalence and volume for botnet families in Asia Pacific. Both give cybercriminals control of affected systems to siphon data or perform click fraud and bitcoin mining. The technology and government sectors faced the highest numbers of attempted attacks by these two families of botnets.
Ransomware warrants attention regardless of industry and this high-value attack method will likely continue with the growth of ransomware-as-a-service (RaaS), where potential criminals with no training or skills can simply download tools and point them at a victim. 36% of organizations detected botnet activity related to ransomware. TorrentLocker was the winner and Locky placed third.
Two malware families, Nemucod and Agent, went on a crime spree. 81.4 percent of all malware samples captured belonged to just these two families. The Nemucod family is infamously affiliated with ransomware. In Asia Pacific, the majority of malware infections are related to ransomware droppers such as Nemucod. Ransomware was present in all regions and sectors, but particularly widespread in healthcare institutions. This remains significant because when patient data is compromised the ramifications can be much more severe, as it has greater longevity and personal value than other types of data.