The worst of all deceptions is self-deception
Goal: Identify attackers attempting to leverage compromised accounts for lateral movement or unauthorized access to cloud resources.
Approach: Deploying fake IDaaS endpoints that mimic legitimate services but capture attacker interactions.
Create decoy IDaaS endpoints that appear to provide access to cloud resources or sensitive data. These endpoints can be designed to capture attacker requests, log their activities, or redirect them to controlled environments.
Goal: Gather information about attackers’ activities and tools by deploying deceptive identity APIs.
Approach: Creating fake identity APIs that mimic legitimate services but capture attacker interactions.
Deploy fake APIs that mimic identity management services, such as user provisioning, authentication, or authorization. These APIs can be designed to capture attacker requests, log their activities, or return misleading information.
Goal: Capture attacker communications and gather intelligence about their infrastructure and operations.
Approach: Setting up decoy C2 servers that mimic legitimate C2 infrastructure.
Deploy fake command-and-control (C2) servers that mimic the behavior of popular malware families. These servers can capture attacker commands, log communications, and even deliver deceptive responses to mislead attackers and disrupt their operations.
Goal: Identify attackers attempting to exfiltrate data and gather information about their targets.
Approach: Creating and monitoring honeyfiles with enticing but fake data.
Plant “honeyfiles” – files with seemingly sensitive information – in locations where attackers are likely to search for valuable data. These files contain fabricated data, tracking mechanisms, or even trigger alerts upon access.
Goal: Lure attackers attempting to use RDP for lateral movement and gather information about their tools and techniques.
Approach: Deploying and monitoring fake RDP servers.
Set up decoy RDP servers that mimic legitimate systems but capture attacker credentials, log keystrokes, or redirect them to a controlled environment.
Goal: Deliver deceptive payloads or disrupt attacker operations through manipulated images.
Approach: Hiding malicious or disruptive code within images.
Embed malicious or disruptive code within images that are designed to be downloaded or processed by attackers. This code can trigger alerts, collect information about the attacker’s environment, or even disrupt their tools and infrastructure.
Goal: Gather information about attacker activity by offering deceptive software updates.
Approach: Luring attackers to download and execute fake updates.
Create fake software updates that appear legitimate but contain tracking mechanisms or deceptive payloads. When an attacker downloads and executes these updates, valuable information about their tools, techniques, and objectives can be gathered.
Goal: To offer a comprehensive platform for deploying and managing deception campaigns.
Approach: Planning and designing deception strategies based on organizational needs.
This element provides a centralized platform for deploying and managing deception campaigns. It includes tools for creating and customizing deception assets, deploying them across the network, and monitoring their interactions with adversaries.
Goal: To optimize deception campaigns based on real-time attacker behavior and threat intelligence.
Approach: Directing and disrupting attacker activities using AI-powered deception techniques.
This element leverages AI and machine learning to analyze attacker behavior, predict their next moves, and dynamically adjust deception tactics.