06-27, 15:30–16:00 (Europe/Vienna), Dachsaal (Track 2 )
Active Directory remains the core identity system in most enterprise and governmental environments, making it a primary target for attackers after initial network compromise. Once inside a network, adversaries typically focus on AD reconnaissance, privilege escalation, and lateral movement in order to gain full domain control.
This presentation explores how attackers perform Active Directory enumeration using common tools and techniques, and why traditional security monitoring often fails to detect these early-stage activities. It then introduces deception-based defense strategies as an effective approach for early detection of malicious behavior within identity infrastructures.
The session focuses on the use of Active Directory honeypots and canary tokens as proactive detection mechanisms. These decoy assets are designed to appear legitimate within the environment while acting as high-fidelity tripwires for suspicious activity. Any interaction with these objects can immediately signal potential reconnaissance or compromise attempts.
Through practical examples and a simulated attack scenario, the talk demonstrates how deception techniques can detect attacker behavior during directory enumeration, credential discovery, and privilege mapping. The presentation also highlights how these mechanisms integrate into Purple Team methodologies and support incident response and forensic investigations.
Attendees will gain insight into how deception technologies enhance visibility within Active Directory environments, reduce attacker dwell time, and enable earlier detection of identity-based attacks before they escalate into full domain compromise.
Modern enterprise and governmental IT infrastructures rely heavily on identity systems to control access to critical resources. Among these systems, Active Directory (AD) remains the dominant identity management platform and therefore represents one of the most attractive targets for cyber attackers. Once an adversary gains an initial foothold inside a network—whether through phishing, credential compromise, or exploitation of a vulnerable system—the next strategic objective is typically the compromise of the identity infrastructure. By targeting Active Directory, attackers can escalate privileges, move laterally across systems, establish persistence, and ultimately achieve full domain dominance.
In recent years, numerous large-scale breaches have demonstrated that attackers often operate inside networks for extended periods before detection. During this dwell time, adversaries perform extensive reconnaissance activities within the directory environment. These reconnaissance steps typically involve directory enumeration, credential harvesting, privilege path analysis, and the identification of high-value targets such as administrative accounts or privileged service identities. Tools such as BloodHound are commonly used by attackers to map relationships between users, groups, and systems, enabling them to identify potential privilege escalation paths.
Traditional detection approaches frequently struggle to identify these early-stage reconnaissance activities. Security monitoring systems generate vast volumes of log data, making it difficult to distinguish malicious behavior from legitimate administrative activity. As a result, attackers are often detected only after significant damage has already occurred, such as during lateral movement, privilege escalation, or the deployment of ransomware.
This presentation explores a proactive defensive strategy based on deception technologies, specifically focusing on the use of Active Directory honeypots and canary tokens as early-warning mechanisms within enterprise identity infrastructures. Deception techniques allow defenders to strategically place decoy assets within the directory environment that appear legitimate to attackers but are monitored closely by security teams. These assets function as highly sensitive tripwires: any interaction with them can immediately indicate suspicious or malicious activity.
The talk will examine how deception-based controls can be integrated directly into Active Directory environments through multiple layers of defensive instrumentation. These layers may include honey user accounts, decoy service identities, embedded credential lures, deceptive group memberships, and carefully crafted scripts placed in shared directories such as SYSVOL. When adversaries enumerate the directory or attempt to leverage these artifacts during their reconnaissance phase, detection mechanisms can trigger alerts and provide defenders with early indicators of compromise.
Particular attention will be given to the implementation of canary tokens, a form of digital tripwire that generates alerts when accessed or used. By embedding tokens within configuration files, service account descriptions, administrative scripts, or backup documentation, defenders can create realistic artifacts that attackers are likely to interact with during credential discovery or environment mapping. When these tokens are triggered, alerts can be delivered through email notifications, security monitoring platforms, or integrated SIEM systems, providing immediate visibility into suspicious activity.
The presentation will also demonstrate how deception mechanisms can be incorporated into Purple Teaming methodologies, enabling collaboration between offensive and defensive security teams. Through controlled attack simulations performed by Red Teams, organizations can test whether their defensive monitoring systems successfully detect interactions with deception artifacts. Blue Teams can then refine detection rules, improve security monitoring workflows, and strengthen incident response procedures based on these insights.
Beyond detection, deception technologies offer substantial benefits for digital forensic investigations. When attackers interact with honeypot objects or canary tokens, investigators can collect valuable forensic artifacts, including authentication attempts, directory queries, network activity, and timestamps associated with attacker behavior. These artifacts allow security teams to reconstruct the attacker’s timeline, understand the reconnaissance techniques used, and determine the scope of a potential compromise. In this way, deception systems act not only as detection mechanisms but also as forensic sensors that capture high-fidelity evidence of adversary activity.
A practical implementation scenario will be presented in which an attacker performs Active Directory reconnaissance using common tools such as BloodHound. During the enumeration process, the attacker encounters a realistic honey account that appears to belong to a backup service. Embedded credential lures and a hidden token trigger lead the attacker to interact with a decoy artifact. As soon as the attacker attempts to use the discovered credentials or access the embedded token, an alert is generated through a monitoring system such as Microsoft Defender for Identity or a SIEM platform. This early detection enables defenders to begin incident response activities before the attacker can escalate privileges or achieve domain control.
In addition to demonstrating the technical implementation of deception techniques, the presentation will discuss operational considerations and potential challenges. Effective deception requires realistic design to avoid detection by skilled adversaries. Honey accounts must follow believable naming conventions, deceptive artifacts must appear consistent with normal operational practices, and monitoring infrastructure must be properly configured to ensure reliable alerting. Maintenance and lifecycle management of deception assets are also important to maintain credibility within the environment.
The session concludes by exploring the broader strategic implications of deception technologies in modern cyber defense architectures. As attackers increasingly target identity systems, defensive strategies must evolve to detect adversaries earlier in the attack lifecycle. Deception-based detection mechanisms provide a powerful complementary layer to traditional monitoring controls by focusing on attacker behavior rather than relying solely on anomaly detection within large datasets.
By integrating honeypots, canary tokens, Purple Teaming exercises, and digital forensic analysis, organizations can significantly improve their ability to detect intrusions at an early stage, reduce attacker dwell time, and collect valuable intelligence about adversary techniques. The insights gained from these systems can help security teams strengthen defensive capabilities, refine detection strategies, and ultimately improve the resilience of enterprise identity infrastructures against modern cyber threats.
Ahmed Hassan is an austrian cybersecurity engineer and penetration tester with over 7 years of experience in offensive security, recognized for speaking at major international conferences including Black Hat Saudi Arabia, Hack Red Con, and the Arab Security Conference. He has identified vulnerabilities for organizations such as United Nations, SAP, NASA, and multiple government institutions worldwide, while also earning 52 CVEs and numerous industry certifications including OSCP and CRTP.