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Wie McLaren Racing modernen E-Mail-Bedrohungen einen Schritt voraus ist

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05
Jan 2021
05
Jan 2021
Faced with sophisticated phishing attacks targeting their C-suite, McLaren turned to AI to stop advanced email threats that outsmarted their legacy security tools. This blog uncovers an attack that slipped through their gateway but was neutralized by Darktrace/Email.

Securing our team’s inboxes has long been a challenge at McLaren Racing. Even before COVID-19 hit, our workforce was incredibly dynamic; we’d been used to effectively setting up a remote office at tracks around the world every other weekend for the last 30 years. We were therefore used to people emailing at an extremely high rate while not always being centralised in a single location.

Collaboration is key for this team, with both our partners and key suppliers. Sharing data happens every day and a variety of methods are used – ranging from sensitive car designs to confidential track-side data.

The email attacks targeting our users have advanced considerably in the last year or two, with attackers seeking to solicit fraudulent payments, or trying to access our own intellectual property. Increasingly sophisticated social engineering attempts meant that our users continued to engage with these phishing and spoofing emails, despite having an array of tools and procedures in place to avoid such an eventuality.

Last year we extended Darktrace’s coverage to our inbox, and now have an intelligent AI security solution understanding ‘patterns of life’ for every Microsoft 365 user in order to spot attacks. Darktrace has allowed the security team here to stay ahead of the most advanced email threats, rather than respond retrospectively to attacks that manage to slip through traditional defences.

Training our workforce to spot attacks

Previously we relied on threat intelligence feeds and retrospective security tools that blocked malicious addresses, domains and URLs, but regardless, a small volume of phishing emails would still reach user mailboxes. Typically, these emails would be well-researched and highly contextualised, targeted to the recipient and sometimes indistinguishable from genuine communications. Despite running employee awareness programs, a proportion of these malicious emails would be acted on by users, leading to account compromises and fraud attempts. Our security resources were then consumed with reacting to these incidents rather than proactively improving security at McLaren Racing.

We run cyber awareness weeks, in collaboration with many of our partners, simulating our own phishing campaigns to teach our workforce how to spot attacks. But these education programs have become harder to communicate with the increase of remote working. Employee engagement was always key and that meant a larger resource strain on our security team, who would typically spend a lot of time with our senior stakeholders, helping them identify spoof emails and working with them on putting business processes in place.

This was a long and arduous process, and it’s difficult to expect our employees to spot the increasingly subtle signs of an email attack. With the sophistication of modern email attacks, the research that goes into them, and the level of social engineering in play, phishing attacks do inevitably still get through both humans and rudimentary defences.

Turning to cyber AI

Working with our partner Darktrace, we deployed their email security technology, Darktrace/Email, and worked on the configuration and installation together. We were able to see results in days. The volume of phishing emails reported by users fell substantially, and over time with Autonomous Response, the regular reviews of Darktrace/Email’s actions has led us to discover many phishing campaigns that we were previously unaware of.

Darktrace’s actions are taken in the context of the business, holding back emails only as a last resort (less than 1% in our environment), and catching only the genuinely malicious emails rather than producing a load of false positives. The actions are also targeted and proportionate, varying from moving emails to junk to converting attachments and locking links, giving us the flexibility we need.

With Darktrace/Email constantly learning and stopping advanced email attacks, the pressure has been taken off the rest of the team, who can now spend their time working with the business supporting new initiatives and collaborating on new areas of innovation.

Stopping a targeted credential-grabbing attack targeting the C-suite

As with many organisations, it’s often our C-suite that gets targeted by the most malicious mails, and Darktrace/Email recently detected an email sent to one of our executives, prompting them to sign a financial document. The email appeared to come from DocuSign, and contained a malicious link hidden behind the text ‘Review Document’.

Figure 1: An interactive snapshot of Darktrace/Email’s user interface surfacing the email
Figure 2: A screenshot of the email in question

If the link is clicked on, two types of scenarios usually follow from these kind of email attacks. Either the user is led to a fake (and often very convincing) login page which captures credentials, or the document itself contains a legitimate-looking invoice, but with one crucial element changed – the bank details. Accounts teams and CFOs are targeted with this kind of attack on a regular basis, but in this case, the attackers were after the executive’s credentials.

Had the executive clicked through and attempted to log in, they would unknowingly have been sending their credentials to the attacker, who then could have used this information to gather sensitive data from their inbox or other SaaS accounts, or send additional malicious emails from the account to make further inroads into our organisation.

The email was sent over the Imola GP race weekend, which was a high-pressured 48 hours for the whole team, as we ran in a new format without Friday practice, bringing a new intensity to the race weekend. However, Darktrace/Email was on guard, recognising the sender as a new contact and deeming the link to be suspicious. With suitable concerns over the email, Darktrace’s AI double locked the link and automatically moved the email to the executive’s Junk folder. All without having to alert the on-call cyber security team over the weekend.

With attacks like this coming in every day, relying on McLaren’s workforce to distinguish real from fake will never realistically protect us from every single threat. With credential harvesting and account takeover on the rise, it really felt like a matter of time before just one phishing email was successful and the floodgates were opened. But with Darktrace/Email, we can rest assured that we have a powerful AI solution keeping us safe, on and off the track.

EINBLICKE IN DAS SOC-Team
Darktrace Cyber-Analysten sind erstklassige Experten für Threat Intelligence, Threat Hunting und Incident Response. Sie bieten Tausenden von Darktrace Kunden auf der ganzen Welt rund um die Uhr SOC-Support. Einblicke in das SOC-Team wird ausschließlich von diesen Experten verfasst und bietet Analysen von Cyber-Vorfällen und Bedrohungstrends, die auf praktischen Erfahrungen in diesem Bereich basieren.
AUTOR
ÜBER DEN AUTOR
Ed Green
Head of Commercial Technology, McLaren Racing

Ed Green works in the Architecture practice within the Information Technology function at McLaren Technology Group, as well as being responsible for the successful integration of their Technology Partners into the McLaren ecosystem. Ed joined McLaren in March 2018 after spending 5 years working for Block Solutions, a specialist network consultancy. In previous roles, he led the Consultancy division at a UK Solution Integrator operating across the public, enterprise, and commercial sectors. Ed has driven innovative engagements with organisations such as Harrods, intu, The Francis Crick Institute, and Barts Health NHS Trust. He has also spent seven years on the council at Great Ormond Street Hospital representing the views of patients at a Board level, and he continues his work at the Hospital School as a Governor and supports the school with STEM initiatives.

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Appleby law firm uses Darktrace and Microsoft for proactive cyber resilience and compliance

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02
May 2024

Security Challenges for Appleby law firm

Appleby is an international law firm that provides offshore legal advice to clients. As such, assuring confidentiality is one of our priorities. I regularly discuss cybersecurity with our clients and prospects who want to know that their data will be protected.

Like all security teams, we are working to keep ahead of the evolving cyber threat landscape while also managing our internal tools and infrastructure.

Although we already applied security philosophies like defense-in-depth and multi-tiered protection, we wanted to expand our coverage especially given the increase in working from home. These improvements would be especially impactful given our lean security team, which must provide 24/7 coverage for our 10 offices around the globe that span several jurisdictions and time zones.

Given these challenges and goals, we turned to Darktrace.

Going beyond an XDR with Darktrace and Microsoft

We wanted to move away from point solutions, and after doing extensive research, we chose to consolidate around Darktrace and Microsoft. This helped us achieve increased coverage, seamless security operations, and even reduced costs.

While considering our upgrade from E3 to E5, we went through an extensive TCO exercise. After reviewing our stack, we were able to sunset legacy tools and consolidate our vendors into an integrated and cost-efficient modern platform built around Darktrace and Microsoft. We now have a single portal to manage security for all our coverage areas, improving upon what we had with our legacy eXtended Detection and Response (XDR) tool.

Darktrace’s AI-led understanding of our business operations, people, processes, and technology has helped us automate so our small team can easily achieve continuous detection, investigation, and response across our systems. This has helped us save time and overcome resource limitations, giving us comprehensive cyber resilience and new opportunities to move past firefighting to take proactive measures that harden our environment.

Darktrace and Microsoft have allowed us to simplify workflows and reduce costs without compromising security. In fact, it’s now stronger than ever.

Proactive protection with Darktrace PREVENT/Attack Surface Management™

I come from a physical security background, so I’ve always been keen on the prevention side. You would always rather prevent somebody from entering in the first place than deal with them once they are inside. With that mindset, we’re pushing our strongest controls to the boundary to stop threat actors before they gain access to our systems.

To help us with that, we use Darktrace PREVENT/Attack Surface Management™ (ASM). With just our brand name, it was able to reveal our entire attack surface, including shadow IT we didn’t know was there. PREVENT/ASM continuously monitors our exposures with AI and reports its findings to my team with actionable insights that contain key metrics and prioritizations based on critical risk. This enables us to maximize our impact with limited time and resources.

PREVENT/ASM has already identified typo squatting domains that threat actors set up to impersonate our brand in phishing attacks. Finding this type of brand abuse not only defends our company from attackers who could damage our reputation, but also protects our clients and vendors who could be targeted with these imitations. PREVENT/ASM even collects the necessary data needed for my team to file a Notice and Takedown order.

In addition to finding vulnerabilities such as brand abuse, PREVENT/ASM integrates with our other Darktrace products to give us platform-wide coverage. This is key because an attacker will never hit only one point, they’re going to hit a sequence of targets to try to get in.

Now, we can easily understand vulnerabilities and attacks because of the AI outputs flowing across the Darktrace platform as part of the comprehensive, interconnected system. I have already made a practice of seeing an alert in Darktrace DETECT/Network and clicking through to the PREVENT/ASM interface to get more context.

Achieving compliance standards for our clients

We work hard to ensure confidentiality for our clients and prospects and we also frequently work with regulated entities, so we must demonstrate that we have controls in place.

With Darktrace in our security stack, we have 24/7 coverage and can provide evidence of how autonomous responses have successfully blocked malicious activity in the past. When I have demonstrated how Darktrace works to regulators, it ticks several of their boxes. Our Darktrace coverage has been critical in helping us achieve ISO27001 compliance, the world’s best-known standard for information security management systems.

Darktrace continues to prove its value. Last year, we brought a red team into our office for penetration testing. As soon as the first tester plugged into our network, Darktrace shut him out. We spent hours clearing the alerts and blocks to let the red team continue working, which validated that Darktrace stopped them at every step.

The red team reported that our controls are effective and even in the top 10% of all companies they had ever tested. That feedback, when presented to ISO auditors, regulators, and clients, immediately answers a lot of their more arduous questions and concerns.

Darktrace helps us meet compliance frameworks while reassuring both my team and our clients that our digital infrastructure is safe.

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About the author
Michael Hughes
CISO, Appleby (guest contributor)

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Einblicke in das SOC-Team

Detecting Attacks Across Email, SaaS, and Network Environments with Darktrace’s AI Platform Approach

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30
Apr 2024

The State of AI in Cybersecurity

In a recent survey outlined in Darktrace’s State of AI Cyber Security whitepaper, 95% of cyber security professionals agree that AI-powered security solutions will improve their organization’s detection of cyber-threats [1]. Crucially, a combination of multiple AI methods is the most effective to improve cybersecurity; improving threat detection, accelerating threat investigation and response, and providing visibility across an organization’s digital environment.

In March 2024, Darktrace’s AI-led security platform was able to detect suspicious activity affecting a customer’s email, Software-as-a-Service (SaaS), and network environments, whilst its applied supervised learning capability, Cyber AI Analyst, autonomously correlated and connected all of these events together in one single incident, explained concisely using natural language processing.

Attack Overview

Following an initial email attack vector, an attacker logged into a compromised SaaS user account from the Netherlands, changed inbox rules, and leveraged the account to send thousands of phishing emails to internal and external users. Internal users fell victim to the emails by clicking on contained suspicious links that redirected them to newly registered suspicious domains hosted on same IP address as the hijacked SaaS account login. This activity triggered multiple alerts in Darktrace DETECT™ on both the network and SaaS side, all of which were correlated into one Cyber AI Analyst incident.

In this instance, Darktrace RESPOND™ was not active on any of the customer’s environments, meaning the compromise was able to escalate until their security team acted on the alerts raised by DETECT. Had RESPOND been enabled at the time of the attack, it would have been able to apply swift actions to contain the attack by blocking connections to suspicious endpoints on the network side and disabling users deviating from their normal behavior on the customer’s SaaS environment.

Nevertheless, thanks to DETECT and Cyber AI Analyst, Darktrace was able to provide comprehensive visibility across the customer’s three digital estate environments, decreasing both investigation and response time which enabled them to quickly enact remediation during the attack. This highlights the crucial role that Darktrace’s combined AI approach can play in anomaly detection cyber defense

Attack Details & Darktrace Coverage

Attack timeline

1. Email: the initial attack vector  

The initial attack vector was likely email, as on March 18, 2024, Darktrace observed a user device making several connections to the email provider “zixmail[.]net”, shortly before it connected to the first suspicious domain. Darktrace/Email identified multiple unusual inbound emails from an unknown sender that contained a suspicious link. Darktrace recognized these emails as potentially malicious and locked the link, ensuring that recipients could not directly click it.

Suspected initial compromise email from an unknown sender, containing a suspicious link, which was locked by Darktrace/Email.
Figure 1: Suspected initial compromise email from an unknown sender, containing a suspicious link, which was locked by Darktrace/Email.

2. Escalation to Network

Later that day, despite Darktrace/Email having locked the link in the suspicious email, the user proceeded to click on it and was directed to a suspicious external location, namely “rz8js7sjbef[.]latovafineart[.]life”, which triggered the Darktrace/Network DETECT model “Suspicious Domain”. Darktrace/Email was able to identify that this domain had only been registered 4 days before this activity and was hosted on an IP address based in the Netherlands, 193.222.96[.]9.

3. SaaS Account Hijack

Just one minute later, Darktrace/Apps observed the user’s Microsoft 365 account logging into the network from the same IP address. Darktrace understood that this represented unusual SaaS activity for this user, who had only previously logged into the customer’s SaaS environment from the US, triggering the “Unusual External Source for SaaS Credential Use” model.

4. SaaS Account Updates

A day later, Darktrace identified an unusual administrative change on the user’s Microsoft 365 account. After logging into the account, the threat actor was observed setting up a new multi-factor authentication (MFA) method on Microsoft Authenticator, namely requiring a 6-digit code to authenticate. Darktrace understood that this authentication method was different to the methods previously used on this account; this, coupled with the unusual login location, triggered the “Unusual Login and Account Update” DETECT model.

5. Obfuscation Email Rule

On March 20, Darktrace detected the threat actor creating a new email rule, named “…”, on the affected account. Attackers are typically known to use ambiguous or obscure names when creating new email rules in order to evade the detection of security teams and endpoints users.

The parameters for the email rule were:

“AlwaysDeleteOutlookRulesBlob: False, Force: False, MoveToFolder: RSS Feeds, Name: ..., MarkAsRead: True, StopProcessingRules: True.”

This rule was seemingly created with the intention of obfuscating the sending of malicious emails, as the rule would move sent emails to the "RSS Feeds” folder, a commonly used tactic by attackers as the folder is often left unchecked by endpoint users. Interestingly, Darktrace identified that, despite the initial unusual login coming from the Netherlands, the email rule was created from a different destination IP, indicating that the attacker was using a Virtual Private Network (VPN) after gaining a foothold in the network.

Hijacked SaaS account making an anomalous login from the unusual Netherlands-based IP, before creating a new email rule.
Figure 2: Hijacked SaaS account making an anomalous login from the unusual Netherlands-based IP, before creating a new email rule.

6. Outbound Phishing Emails Sent

Later that day, the attacker was observed using the compromised customer account to send out numerous phishing emails to both internal and external recipients. Darktrace/Email detected a significant spike in inbound emails on the compromised account, with the account receiving bounce back emails or replies in response to the phishing emails. Darktrace further identified that the phishing emails contained a malicious DocSend link hidden behind the text “Click Here”, falsely claiming to be a link to the presentation platform Prezi.

Figure 3: Darktrace/Email detected that the DocSend link displayed via text “Click Here”, was embedded in a Prezi link.
Figure 3: Darktrace/Email detected that the DocSend link displayed via text “Click Here”, was embedded in a Prezi link.

7. Suspicious Domains and Redirects

After the phishing emails were sent, multiple other internal users accessed the DocSend link, which directed them to another suspicious domain, “thecalebgroup[.]top”, which had been registered on the same day and was hosted on the aforementioned Netherlands-based IP, 193.222.96[.]91. At the time of the attack, this domain had not been reported by any open-source intelligence (OSINT), but it has since been flagged as malicious by multiple vendors [2].

External Sites Summary showing the suspicious domain that had never previously been seen on the network. A total of 11 “Suspicious Domain” models were triggered in response to this activity.
Figure 4: External Sites Summary showing the suspicious domain that had never previously been seen on the network. A total of 11 “Suspicious Domain” models were triggered in response to this activity.  

8. Cyber AI Analyst’s Investigation

As this attack was unfolding, Darktrace’s Cyber AI Analyst was able to autonomously investigate the events, correlating them into one wider incident and continually adding a total of 14 new events to the incident as more users fell victim to the phishing links.

Cyber AI Analyst successfully weaved together the initial suspicious domain accessed in the initial email attack vector (Figure 5), the hijack of the SaaS account from the Netherlands IP (Figure 6), and the connection to the suspicious redirect link (Figure 7). Cyber AI Analyst was also able to uncover other related activity that took place at the time, including a potential attempt to exfiltrate data out of the customer’s network.

By autonomously analyzing the thousands of connections taking place on a network at any given time, Darktrace’s Cyber AI Analyst is able to detect seemingly separate anomalous events and link them together in one incident. This not only provides organizations with full visibility over potential compromises on their networks, but also saves their security teams precious time ensuring they can quickly scope out the ongoing incident and begin remediation.

Figure 5: Cyber AI Analyst correlated the attack’s sequence, starting with the initial suspicious domain accessed in the initial email attack vector.
Figure 5: Cyber AI Analyst correlated the attack’s sequence, starting with the initial suspicious domain accessed in the initial email attack vector.
Figure 6: As the attack progressed, Cyber AI Analyst correlated and appended additional events to the same incident, including the SaaS account hijack from the Netherlands-based IP.
Figure 6: As the attack progressed, Cyber AI Analyst correlated and appended additional events to the same incident, including the SaaS account hijack from the Netherlands-based IP.
Cyber AI Analyst correlated and appended additional events to the same incident, including additional users connecting to the suspicious redirect link following the outbound phishing emails being sent.
Figure 7: Cyber AI Analyst correlated and appended additional events to the same incident, including additional users connecting to the suspicious redirect link following the outbound phishing emails being sent.

Schlussfolgerung

In this scenario, Darktrace demonstrated its ability to detect and correlate suspicious activities across three critical areas of a customer’s digital environment: email, SaaS, and network.

It is essential that cyber defenders not only adopt AI but use a combination of AI technology capable of learning and understanding the context of an organization’s entire digital infrastructure. Darktrace’s anomaly-based approach to threat detection allows it to identify subtle deviations from the expected behavior in network devices and SaaS users, indicating potential compromise. Meanwhile, Cyber AI Analyst dynamically correlates related events during an ongoing attack, providing organizations and their security teams with the information needed to respond and remediate effectively.

Credit to Zoe Tilsiter, Analyst Consulting Lead (EMEA), Brianna Leddy, Director of Analysis

Appendices

References

[1] https://darktrace.com/state-of-ai-cyber-security

[2] https://www.virustotal.com/gui/domain/thecalebgroup.top

Darktrace DETECT Model Coverage

SaaS Models

- SaaS / Access / Unusual External Source for SaaS Credential Use

- SaaS / Compromise / Unusual Login and Account Update

- SaaS / Compliance / Anomalous New Email Rule

- SaaS / Compromise / Unusual Login and New Email Rule

Network Models

- Device / Suspicious Domain

- Multiple Device Correlations / Multiple Devices Breaching Same Model

Cyber AI Analyst Incidents

- Possible Hijack of Office365 Account

- Possible SSL Command and Control

Indicators of Compromise (IoCs)

IoC – Type – Description

193.222.96[.]91 – IP – Unusual Login Source

thecalebgroup[.]top – Domain – Possible C2 Endpoint

rz8js7sjbef[.]latovafineart[.]life – Domain – Possible C2 Endpoint

https://docsend[.]com/view/vcdmsmjcskw69jh9 - Domain - Phishing Link

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About the author
Zoe Tilsiter
Cyber Analyst
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