Question

Difficulty: HardDeception and Disruption Technologies

A security architecture team is designing an active defense strategy to detect threat actors performing lateral movement within a cloud-hybrid network. The team specifically wants to plant decoy authentication credentials into workstation memory and local caches so that any credential dumping attempt immediately generates high-fidelity alerts without exposing production directory services. Which of the following deception technologies best fulfills this operational requirement?

  1. Placing honeytokens within endpoint credential caches to act as decoy authentication material that alerts security operations upon accessAnswer
  2. B
    Reconfiguring the endpoint intrusion prevention system (IPS) to operate as an inline decoy that redirects unauthorized LSASS reads to a honeynet
  3. C
    Provisioning a high-interaction honeypot service directly on the production domain controller to capture hash-harvesting attempts
  4. D
    Deploying host-based microsegmentation firewalls to block unauthenticated process execution across endpoint subnets

Answer

Placing honeytokens within endpoint credential caches to act as decoy authentication material that alerts security operations upon access
Honeytokens (and breadcrumbs) are fake credentials, tokens, or data planted in places like LSASS memory, configuration files, or credential managers. When an attacker attempts to harvest and use these decoy credentials, security systems generate high-confidence alerts, detecting lateral movement early without placing actual production directory services at risk.

Step-by-Step Solution

1
Analyze the operational objective of the scenario
The goal is to detect credential dumping and lateral movement attempts by placing fake/decoy credentials directly into endpoint memory or local caches.
Understanding the requirement isolates active deception mechanisms from traditional preventive controls.
2
Evaluate the deception technology options against the required asset type
Decoy credentials, fake API keys, or embedded breadcrumbs used to lure attackers are classified as honeytokens.
Honeytokens specifically target data and credential lures, whereas honeypots are full decoy systems or services.
3
Differentiate honeytokens from traditional network and host controls
Preventive controls like microsegmentation or inline IPS block actions rather than serving as deceptive traps that yield early threat intelligence.
Deception tools deliberately allow the attacker to interact with fake data to signal malicious presence.

Key Concept

Deception Technologies (Honeytokens and Breadcrumbs)
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