In the evolving landscape of cybersecurity, Microsoft is leveraging an unconventional yet powerful strategy: deception. At a recent BSides event, Microsoft shared insights into a unique project using fake Azure tenants to lure cybercriminals. This approach allows Microsoft to log cybercriminals’ every action, shedding light on their tactics, techniques, and procedures (TTPs) while disrupting their operations.
Why Deception Works
The foundation of deception lies in misleading adversaries, making them believe they’ve accessed authentic systems. Deception technology has historically been used to protect systems from threats by creating a “honeypot” environment where attackers unwittingly interact with traps rather than real data. For Microsoft, this approach is taken to the next level by crafting realistic Azure tenants, complete with fake users and content.
With thousands of phishing sites emerging daily, Microsoft feeds honeypot credentials into roughly 20% of these sites. This tactic allows the company to gather vital data about the TTPs employed by cybercriminals and neutralize them before they cause harm to real users. According to Ross Bevington, Microsoft’s “head of deception,” this method is about creating an ecosystem of fake tenants, tricking attackers into revealing their intentions within controlled environments.
Intelligence Gathering with Cloud-Scale Deception
Creating a large-scale honeypot environment takes significant effort, yet Microsoft’s approach is efficient and scalable thanks to the Azure cloud platform. Fake Azure tenants offer real-time monitoring in a secure, authentic ecosystem, which gives Microsoft deeper insight into phishing tactics. For example, by observing fake tenants, Microsoft can see how hackers navigate, what tools they rely on, and how they aim to extract data. This intelligence enables them to stay ahead, developing more effective security solutions for their real-world users.
Chris Dukich, the founder of Display Now, highlights the novelty of this strategy: “It gives Microsoft the benefit of gathering intelligence on phishers globally and neutralizing them preemptively.” The collected data goes beyond preventing isolated attacks, contributing instead to a comprehensive understanding of phishing schemes on a global scale.
Deception Technology: A Resource-Intensive Tool
While this technique has proven valuable for Microsoft, not every organization can deploy it with the same effectiveness. As cybersecurity expert Vaclav Vincalek points out, deception projects require ample resources to set up and monitor. Even once deployed, they require staff to analyze and respond to insights derived from the honeypots. Grimes, a defense expert, concurs, noting that while deception technology is generally used as an early warning system, Microsoft’s application focuses on analyzing emerging phishing trends and identifying patterns.
AI has also become integral to building realistic deceptive environments. Daniel Blackford from Proofpoint suggests that large language models can streamline the creation of fake accounts and communication, saving time and resources. These models simulate realistic environments for hackers to infiltrate, offering a unique opportunity to assess criminal behavior in a way that benefits security teams.
Deception Meets Training: The Fight Against Phishing
A critical area where deception shows promise is in combating phishing attacks. Cybersecurity expert Shawn Loveland of Resecurity believes fake assets such as decoy websites and credentials are powerful tools in misleading attackers while allowing teams to observe phishing attempts. This data collection leads to more effective strategies and safer networks. Moreover, simulated phishing exercises also educate employees, equipping them with knowledge to recognize and resist phishing tactics.
Microsoft’s method, however, goes beyond training and taps into the heart of cybercrime operations by exploring cybercriminals’ tools and techniques. This approach is particularly relevant today as phishing grows more sophisticated. Instead of isolated phishing emails, attackers increasingly exploit trusted services like OneDrive and GitHub, making the threat more challenging to detect and mitigate.
Practical Considerations and the Future of Deception in Cybersecurity
While deception technology has demonstrated success in Microsoft’s use case, it’s not a standalone solution. Experts emphasize combining deception with traditional security measures. For instance, the decoy systems used in deception environments should mimic the actual IT infrastructure of the organization to avoid tipping off attackers. Casey Ellis from Bugcrowd recommends tailoring decoy systems to resemble genuine environments, like setting them up on a Windows OS if the organization primarily uses Microsoft software.
The scope of this project shows that when used strategically, deception can be an invaluable asset, particularly for companies with sufficient resources to manage and monitor it. While smaller organizations may find deception more challenging to implement at scale, they can still benefit by adopting similar strategies on a smaller scale or integrating deception with other security measures.
Conclusion: Deception’s Role in Modern Cybersecurity
Microsoft’s approach highlights the evolution of deception in cybersecurity, especially as phishing becomes increasingly sophisticated. As demonstrated by this project, deception is more than just a defensive tool; it’s a proactive method for gathering intelligence and disrupting cybercriminal activity. While it may not be suitable for every organization, Microsoft’s example suggests that with the right infrastructure and expertise, deception can effectively enhance security measures and thwart even the most complex phishing schemes.
As the cybersecurity landscape continues to evolve, deception may well become an essential part of cybersecurity strategies, helping defenders stay a step ahead of attackers by turning the tables on them.
