Tag Archives: malware

The Year of Online Extortion: Over 81 Billion Threats Blocked in 2016

by Bharat Mistry

Trend Micro blocked an astonishing 81+ billion threats for customers in 2016, according to our newly released TrendLabs 2016 Security Roundup. If any stat speaks of the scale of the challenge facing organisations from online attackers – and the need for comprehensive multi-layered protection – it’s this one. Ransomware unsurprisingly led the way last year, with a 752% increase in new malware families discovered. But it’s Business Email Compromise (BEC) that potentially threatens to cause more problems going forward. Continue reading

New Year, New Security Challenges: What to Expect from 2017

by Raimund Genes

Trend Micro has been protecting organisations, governments and consumers for over two and a half decades now. Our 1,200-strong team of threat researchers work round the clock and around the globe to anticipate where the next major threats will come from, and, crucially, how to mitigate them. At this time of year we’re always asked for our predictions for the next 12 months. And while cybercriminals are unlikely to work to annual deadlines, it’s still a good time to take stock and share our insight into what our experts think 2017 holds in store.

As the bad guys get ever more determined and resourceful, it will take a solid multi-layered approach to security combined with strong people and processes to keep UK organisations safe and compliant as we head into the new year. Continue reading

Black Hat Europe: How Machine Learning Offers a New Approach to Uncover IOCs

Indicators of compromise (IOCs) are an incredibly important forensic artifacts which, as the name suggests, are used in incident response and threat research to discover if a system has been compromised. They come in various forms, for example, unusual outbound network traffic, an MD5 file in a temporary directory, or even log-in irregularities. One class of IOCs so far resistant to detection by traditional methods relates to the use of external content in web-based attacks.

At Black Hat Europe earlier today, Trend Micro senior security researcher Marco Balduzzi, explained how a new machine learning approach can reap fantastic results for early detection of such threats. Continue reading

Black Hat: Traditional AV is Dead, Long Live XGen Machine Learning

Today’s IT security bosses are assailed from all sides by a huge variety of online threats. They’re designed to exploit known and unknown vulnerabilities across cloud, mobile, virtual and hybrid environments. And increasingly, they’re developed to outwit traditional signature-based tools. Yet the impact of these threats has never been greater. Data breaches and service outages can lead to heavy industry fines, damage to the brand, lost customers, remediation and clean-up costs, and even heft legal bills.

That’s why we have developed a new statistical-based approach designed to learn as it goes to detect modern unknown threats. This XGen approach was revealed at Black Hat today by senior researcher, Marco Balduzzi. Continue reading