Out of all recognised malware incidents globally, the percentage of ransomware attacks increased from 5.5% to 10.5% between July and December 2016 according to Check Point Software Technologies’ H2 2016 Global Threat Intelligence Trends report.
The report highlights the key tactics cyber-criminals are using to attack businesses, and gives a detailed overview of the cyber-threat landscape in the top malware categories: ransomware, banking and mobile. It is based on threat intelligence data drawn from Check Point’s ThreatCloud World Cyber Threat Map between July and December 2016.
Check Point researchers detected a number of key trends during the period:
· The Monopoly in the Ransomware Market – thousands of new ransomware variants were observed in 2016, and in recent months we witnessed a change in the ransomware landscape as it became more and more centralised, with a few significant malware families dominating the market and hitting organisations of all sizes.
· DDoS Attacks via IoT Devices – in August 2016, the infamous Mirai Botnet was discovered – a first of its kind- the Internet-of-Things (IoT) Botnet, which attacks vulnerable Internet-enabled digital such as video recorders (DVR) and surveillance cameras (CCTV). It turns them into bots, using the compromised devices to launch multiple high-volume Distributed Denial of Service (DDoS) attacks. It is now clear that vulnerable IoT devices are in use in almost every home, and massive DDoS attacks that are based on such will persist.
Top malware during H2 2016:
1. Conficker (14.5%) – Worm that allows remote operations and malware download. The infected machine is controlled by a botnet, which contacts its Command & Control server to receive instructions.
2. Sality (6.1%) – Virus that allows remote operations and downloads of additional malware to infected systems by its operator. Its main goal is to persist in a system and provide means for remote control and installing further malware.
3. Cutwail (4.6%) – Botnet mostly involved in sending spam e-mails, as well as some DDOS attacks. Once installed, the bots connect directly to the command and control server, and receive instructions about the emails they should send. After they are done with their task, the bots report back to the spammer exact statistics regarding their operation.
4. JBossjmx (4.5%) – Worm that targets systems having a vulnerable version of JBoss Application Server installed. The malware creates a malicious JSP page on vulnerable systems that executes arbitrary commands. Moreover, another Backdoor is created that accepts commands from a remote IRC server.
5. Locky (4.3%) – Ransomware, which started its distribution in February 2016, and spreads mainly via spam emails containing a downloader disguised as a Word or Zip file attachment, which then downloads and installs the malware that encrypts the user files.
Top ransomware during H2 2016:
The percentage of ransomware attacks out of all recognised attacks globally almost doubled in the second half of 2016, from 5.5% to 10.5%. The most common variants detected were:
1. Locky 41% – The third most common ransomware in H1, which increased dramatically in the second half of the year.
2. Cryptowall 27% – Ransomware that started as a Cryptolocker doppelgänger, but eventually surpassed it. After the takedown of Cryptolocker, Cryptowall became one of the most prominent ransomwares to date. Cryptowall is known for its use of AES encryption and for conducting its C&C communications over the Tor anonymous network. It is widely distributed via exploit kits, malvertising and phishing campaigns.
3. Cerber 23% – the world’s biggest ransomware-as-a-service scheme. Cerber is a franchise scheme, with its developer recruiting affiliates who spread the malware for a cut of the profits.
Top Mobile Malware during H2 2016:
1. Hummingbad 60% – Android malware first revealed by Check Point research team that establishes a persistent rootkit on the device, installs fraudulent applications and with slight modifications could enable additional malicious activity such as installing a key-logger, stealing credentials and bypassing encrypted email containers used by enterprises.
2. Triada 9% – Modular Backdoor for Android which grants superuser privileges to downloaded malware, and helps it to get embedded into system processes. Triada has also been seen spoofing URLs loaded in the browser.
3. Ztorg 7% – Trojan that uses root privileges to download and install applications on the mobile phone without the user’s knowledge.
Top banking malware:
1. Zeus 33% – Trojan that targets Windows platforms and often used to steal banking information by man-in-the-browser keystroke logging and form grabbing.
2. Tinba 21% – Banking Trojan that steals the victim’s credentials using web-injects, activated as the users try to login to their bank website.
3. Ramnit 16% – Banking Trojan that steals banking credentials, FTP passwords, session cookies and personal data.
Doros Hadjizenonos, Country Manager of Check Point South Africa commented: “The report demonstrates the nature of today’s cyber environment, with ransomware attacks growing rapidly. This is simply because they work, and generate significant revenues for attackers. Organisations are struggling to effectively counteract the threat: many don’t have the right defenses in place, and may not have educated their staff on how to recognize the signs of a potential ransomware attack in incoming emails.”
“Additionally our data demonstrates that a small number of families are responsible for the majority of attacks, while thousands of other malware families are rarely seen,” continued Hajizenonos. “Most cyber threats are global and cross-regional, yet the APAC region, stands out as its Top Malware Families chart includes 5 families which do not appear in the other regional charts.”
The statistics in this report are based on data drawn from the ThreatCloud World Cyber Threat Map. Check Point’s ThreatCloud is the largest collaborative network to fight cybercrime, delivering the most up-to-date threat data and cyberattack trends from a global network of threat sensors. The ThreatCloud database identifies millions of malware types daily, and contains more than 250 million addresses analysed for bot discovery, as well as over 11 million malware signatures and 5.5 million infected websites.