Cyberseer deploy advanced threat detection solutions as part of its managed security services, across a range of businesses and industries. Recently, one of Cyberseer’s clients was hit with a phishing campaign aiming to plant the Dridex malware within its network. While the client’s e-mail gateway blocked 90% of the e-mails, in certain scenarios the phishing messages were able to bypass filters and reach their targets. The majority of users who received the e-mail were cautious and did not click the embedded hyperlink. One user however, was not so vigilant and downloaded the malicious executable.
At the time the file was downloaded, mainstream malware databases had no records for the file’s MD5/SHA256 hashes, and all of the client’s traditional security defences failed to detect or block the Dridex Trojan.
By leveraging Darktrace’s Enterprise Immune System, a machine learning and mathematics driven cyber defence immune system, Cyberseer Analysts were able to rapidly detect and alert the customer to the breach, and prevent further infection and network disruption.
What is ‘Dridex’?
Dridex is a banking Trojan that is designed to compromise a victim’s computer in order to steal sensitive and personal information. The malware’s main objective is to steal banking credentials which can then be used to siphon funds from the victim’s bank accounts. The Dridex malware strain was first identified in late 2014 by Symantec  and since has been subject to an international crackdown led by the National Crime Agency in collaboration with the FBI. The operation led to the arrest of a Moldovan suspect who was believed to run the command and control centre for Dridex.
During its initial campaign, Dridex was thought to be responsible for the theft of over £20 million from infected users’ bank accounts . While the arrest of the suspected operator initially led to a reduction in the number of spam campaigns and infection sources, during January 2016 the Dridex malware campaign appeared to return to full force. The graph from Fire Eye  below shows an enormous spike in detections, for this period:
Spread and Infection Techniques
Detection of Dridex
Signature based threat detection techniques were unable to detect this instance of Dridex, as the current phase of the malware campaign introduced new iterations of the malware which had not been seen previously, and meant that effective signatures were not available.
Darktrace’s Enterprise Immune System, however, does not rely on signatures, and has no prerequisites for determining malicious network activity. Utilising machine-learning, the Darktrace technology models network traffic to understand normal patterns of activity for users, connections, devices and the network as a whole. Activity that is determined to be ‘unusual’ is flagged for analysis by Cyberseer to determine whether it is a genuine threat.
When the victim clicked on the hyperlink in the Phishing e-mail, their PC made a connection out to the internet and downloaded the Dridex binary. Cyberseer Analysts could see the Darktrace technology had captured and processed this connection in real-time, identifying the endpoint as ‘Rare’ and ‘Unusual’:
Darktrace alert for the unusual Dridex download.
Cyberseer identified the device connecting to a new rare external endpoint (trendcheckers.com) and downloading an uncommon exe file (7u65j5hg.exe) which was seen as unusual behaviour. As Darktrace is continually capturing network traffic it is possible to generate and analyse packet captures for devices on the network. In this case, Cyberseer used the packet capture to confirm that the Dridex download was successful:
It is also interesting to note this connection was made via a proxy, which failed to identify the connection as malicious.
At the time of the alert (09:22 on Jan 27), there was no open source intelligence for the hash of the specific Dridex binary. The screenshot below shows the malware was uploaded to VirusTotal on Jan 27 at 13:40, approximately 4 hours later:
Following the real-time Darktrace alert , Cyberseer Analysts were able to rapidly investigate the file and contact the client. The device was successfully quarantined and re-mediated before further compromise could occur.
This scenario highlights how traditional signature based approaches are not enough to adequately defend a network against constantly evolving, new unknown threats. The Darktrace technology does not require any prior knowledge of threats or need to update signature definitions. As shown above, a machine-learnt behavioural approach to security is able to detect threats ahead of other traditional solutions, allowing a faster response to potential breaches. Security technologies that require signatures and blacklists to be updated will always be one step behind the attackers and never be able to detect new unknown threats in real-time.
Cyberseer’s threat detection and analysis service bridges the gaps in an organisations cyber defence system. Having the ability to detect and understand the severity of internal and external threats provides effective threat mitigation. Understanding your organisations threat score and dealing with live issues early, decreases incident response times and significantly reduces the risk of cyber damage.
 – http://www.symantec.com/connect/blogs/dridex-and-how-overcome-it  – https://www.finextra.com/news/fullstory.aspx?newsitemid=27978  – https://www.fireeye.com/blog/threat-research/2016/01/dridex_botnet_resume.html