Deceptive Data Masking

Goal: Disrupt attacker attempts to exfiltrate sensitive data by masking or altering its content.

Approach: Modifying sensitive data in transit to render it useless to attackers.

Implement mechanisms that dynamically alter or mask sensitive data as it is being exfiltrated. This can involve encryption, obfuscation, or even replacing the data with decoy information, rendering it useless to the attacker.

Image-Based Malware Delivery

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.

Fake Software Updates

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.

Poisoned Scripts

Goal: Disrupt attacker operations by injecting deceptive code into scripts downloaded from developer machines.

Approach: Manipulating scripts to deliver misleading information or disrupt execution.

If an attacker compromises a developer’s machine and downloads scripts or code, inject subtle errors, delays, or misleading functions into those files. This can cause the attacker’s tools to malfunction or lead them down false paths.

Deceptive File System Filter Driver

Goal: Disrupt malware operation by manipulating file system operations.

Approach: Intercepting and altering file system requests.

This element installs a file system filter driver that intercepts file system requests and can modify or redirect them. This can be used to prevent malware from accessing sensitive files, executing malicious code, or persisting on the system.

API Hooking for Credential Theft Detection

Goal: Detect attempts to steal credentials by hooking API calls related to credential management.

Approach: Monitoring API calls for suspicious activity.

This element hooks API calls related to credential management, such as CredEnumerate or LogonUser. When a suspicious call is detected, the element can log the event, alert security personnel, or even inject a deceptive credential.

Process-Specific API Call Manipulation

Goal: Disrupt malware operation by manipulating API calls made by specific processes.

Approach: Intercepting and altering API calls to disrupt malicious activity.

This element involves monitoring API calls made by specific processes and selectively manipulating their responses to disrupt malware operation.