Automated Spear Phishing System Using AI Narrative Construction

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Solution Overview

Problem

Current anti-phishing technologies are ineffective in targeting specific individuals with tailored deceptive messages, as they rely on impersonation and lack the ability to exploit specific information about targets, leading to poor usability and high failure rates in preventing sensitive information acquisition.

Innovation Solution

An automated spear phishing system utilizing artificial intelligence that constructs a background story with true declarative content and an expanded story with deceptive content, combined with a communication generator to create targeted electronic communications that exploit specific target information, aiming to induce specific actions from the target.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If automated construction of background story and expanded story using computational logic is implemented, then the effectiveness of spear phishing is improved, but the complexity of the system increases

Engineering Contradiction:

Improveeffectiveness of spear phishingVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the spear phishing process into distinct modules: background story construction, expanded story construction, and communication generation. Each module handles specific tasks independently, improving overall effectiveness while managing complexity through functional separation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by automatically constructing background stories and expanded stories using computational logic before generating the final phishing communication. This pre-processing of target information enhances the effectiveness of the resulting phishing messages.

Inventive Principle:

Principle #10Preliminary action

2Reliability

If tailored messages exploiting target-specific information are generated, then the success rate of data acquisition is improved, but the time required for message construction increases

Engineering Contradiction:

Improvesuccess rate of data acquisitionVSAvoidtime required for message construction

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system uses self-service mechanisms by automatically gathering and processing target-specific information through computational logic without requiring manual intervention. The automated construction of background and expanded stories enables the system to generate tailored phishing messages efficiently, improving success rates while minimizing time investment.

Inventive Principle:

Principle #25Self-service

3Productivity

If automated spear phishing system with minimal human input is deployed, then the productivity of phishing operations is improved, but the precision of deceptive content may deteriorate

Engineering Contradiction:

Improveproductivity of phishing operationsVSAvoidprecision of deceptive content

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The system incorporates feedback mechanisms where the computational logic continuously refines the background story and expanded story based on target information analysis. This feedback loop ensures that automated generation maintains high precision in deceptive content by adjusting and optimizing message elements before final output.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS9882932B2Automated spear phishing system

Publication Date: 2018.01.30 DEEP DETECTION LLC

AI summary

A system, method and program product for spear phishing. As system is disclosed having a system for automatically constructing a background story using computational logic that includes true declarative content associated with a target; a system for automatically constructing an expanded story using computational logic that includes deceptive declarative content; and a communication generator that generates a communication including the true declarative content, the deceptive declarative content, and an actionable element.