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Build an active defense mechanism. Learn how high-interaction honeypots and honeytokens can detect intruders, trace exploitation paths, and gather threat intelligence.
Traditional defensive measures focus on blocking and detecting known attack patterns. Deception technology turns the table by deploying attractive, fake resources (honeypots) and credentials (honeytokens) within the production environment to detect intruders early.
Unlike low-interaction honeypots that simulate simple service banners, high-interaction honeypots run real operating systems and services. This allows analysts to capture the full progression of an attacker's exploitation steps, payload delivery, and post-compromise lateral movement.
Honeytokens in Action: Placing decoy AWS access keys in code repositories, or fake database credentials on developer machines. The moment these keys are used or leaked, an immediate, high-fidelity alert is triggered, pointing directly to a compromised system or internal threat.
Another effective strategy is creating honey-tables in SQL databases. A table named tbl_secret_admin_passwords can be created with a custom DB trigger. Since no legitimate application should ever query this table, any SELECT, INSERT, or UPDATE action instantly logs the query detail, user, IP address, and alerts the security operations center (SOC).
Attackers perform recon in AD networks. You can create a fake domain administrator account with an easily crackable password (Kerberoasting bait). The account has no access privileges, but the moment a Kerberos Ticket Request is logged for this account, it indicates scanning activity in progress.