Social Engineering Assessment Using Simulated Vishing and Phishing
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Solution Overview
Problem
Conventional threat awareness arrangements fail to train individuals effectively to differentiate between vishing and non-vishing calls, smishing text messages, and phishing emails, making it difficult to identify and report cyber-attacks, leading to potential financial loss and business disruption.
Innovation Solution
A social engineering threat assessment platform (SETAP) that simulates vishing phone calls, smishing text messages, and phishing emails based on intelligence data, analyzes responses, and provides feedback for targeted trainings to enhance awareness and mitigate risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional threat awareness arrangements are used, then basic cyber security awareness can be provided, but individuals cannot effectively differentiate between vishing and non-vishing calls, smishing text messages, and phishing emails
Solution Approach 1:
The system performs preliminary actions by simulating realistic social engineering attacks before they occur in real life. The platform creates and executes simulated vishing calls, smishing text messages, and phishing emails as training exercises, allowing individuals to practice their identification and response skills in a controlled environment before facing actual threats.
Solution Approach 2:
The system implements feedback mechanisms by analyzing individual responses to simulated attacks and providing personalized feedback. The platform tracks whether individuals correctly identify social engineering attempts, reports their response actions, and provides feedback on their performance, enabling continuous improvement of their cyber security awareness and response capabilities.
2Loss of information
If conventional threat awareness arrangements are used, then general security knowledge can be disseminated, but it becomes difficult to identify and report smishing text messages or phishing emails
Solution Approach 1:
The system creates copies of real social engineering attacks in the form of simulated vishing calls, smishing text messages, and phishing emails. These simulations replicate the actual attack patterns, messaging techniques, and social engineering tactics used by threat actors, allowing individuals to practice identifying and reporting these threats accurately in a risk-free training environment.
3Productivity
If simulated social engineering attacks are executed against targets, then training effectiveness can be measured, but the system complexity increases
Solution Approach 1:
The system segments the complex social engineering training process into distinct, manageable components. The platform divides training into separate modules for different attack types (vishing calls, smishing text messages, phishing emails), allows individual customization of training scenarios based on target profiles, and organizes the evaluation process into discrete assessment steps, making the overall complex system more manageable and scalable.
Data Source
AI summary
The present disclosure provides a method, a computing platform, and a system for social engineering threat assessment. The method, conducted by a computing platform having one or more processors, includes converting social engineering threat data into one or more templates, simulating one or more social engineering attacks for a target based on the one or more templates, analyzing the one or more simulated social engineering attacks for the target; executing the one or more simulated social engineering attacks for the target based on analysis results by initiating one or more simulated vishing phone calls to the target, receiving, from a computing device associated with the target, response data responsive to the one or more simulated vishing phone calls, and providing, as feedback, execution results to one or more parties.