Real-Time Phishing Training via Active Content Interception
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Solution Overview
Problem
Current cybersecurity tools are ineffective in preventing phishing attacks, relying on pre-defined training campaigns that are not aligned with real-time cyber threats, and fail to provide customized training for individual user vulnerabilities.
Innovation Solution
A system and method for real-time anti-phishing training that intercepts and modifies active email content, using real-world phishing attacks to provide user-specific training by blocking malicious content and reconstructing it for training purposes, with a system comprising a content filtering engine, security protection engine, and user behavior database to track and customize training based on individual behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-defined training campaigns are used to train users against phishing attacks, then training coverage is provided, but the training material becomes outdated and not aligned with real-time cyber threats
Solution Approach 1:
The system performs preliminary action by intercepting and analyzing phishing emails before they reach the user. The content filtering engine proactively identifies malicious content and creates training materials in advance, ensuring the training is based on current threats rather than historical data. This preliminary analysis and material creation ensures training effectiveness is maintained while reducing time lag.
Solution Approach 2:
The system converts the harmful phishing emails into beneficial training materials. By capturing real phishing attempts and neutralizing their malicious content through the content filtering engine, the system transforms actual threats into educational content that teaches users about current attack vectors, thereby eliminating the time lag between threat occurrence and training material creation.
2Ease of operation
If generic training materials are used for all users, then training delivery is simplified, but the training does not address individual user vulnerabilities and behaviors
Solution Approach 1:
The system segments users into different groups based on their behavior patterns and vulnerability profiles. The user behavior database analyzes individual interactions and divides the user population into segments with similar characteristics, allowing the system to deliver customized training to each segment while maintaining overall system simplicity. This segmentation enables adaptability without complicating the training delivery process.
Solution Approach 2:
The system applies local quality by tailoring training content to match the specific needs and vulnerability profiles of individual users or user groups. Based on behavior analysis, the system adjusts training materials to address the specific phishing types each user is most susceptible to, providing customized training that fits local user needs while maintaining the overall simplicity of the training delivery mechanism.
3Adaptability or versatility
If manual creation of training materials is performed, then training content can be customized, but the process becomes tedious and resource intensive
Solution Approach 1:
The system performs self-service by automatically generating training materials from intercepted phishing emails. The content filtering engine autonomously analyzes phishing content, extracts relevant information, and creates training materials without requiring manual intervention. This automated self-service process maintains the ability to customize training content while dramatically improving productivity by eliminating the tedious manual creation process.
Solution Approach 2:
The system applies parameter changes by automatically transforming phishing email parameters into training material parameters. The content filtering engine extracts key characteristics from phishing emails and converts them into structured training content parameters, enabling automated generation of customized training materials. This parameter transformation approach maintains customization capability while significantly improving material creation efficiency.
4Reliability
If users are provided with real-time training during phishing attacks, then user awareness is enhanced, but the system complexity increases
Solution Approach 1:
The system achieves universality by designing a multi-functional content filtering engine that simultaneously performs phishing detection, threat analysis, training material generation, and user behavior analysis. This single multi-functional component handles multiple tasks that would otherwise require separate complex systems, thereby enhancing user awareness through real-time training while minimizing the increase in overall system complexity.
Data Source
AI summary
An approach is proposed to support user-specific real time anti-phishing training of email recipients using real phishing attacks. When a recipient triggers an active content such as an URL link embedded in and/or opens an attachment to an email arrived at the recipient's account, the triggered active content is synchronously intercepted and examined in real time for potential malicious intent of a phishing attack. If the triggered active content is determined to be safe, the recipient is allowed to access the content. If the active content is determined to be malicious, the active content is blocked and the recipient is redirected a safe blocking mechanism. The recipient is then provided with an anti-phishing training exercise, which is specifically customized for the recipient based on the blocked active content in the payload of the email and/or the recipient's security posture and awareness.