OS-Level Credential Input Detection for Phishing Threat Analysis
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Solution Overview
Problem
Existing systems fail to effectively detect and mitigate sophisticated phishing attacks at the operating system level, allowing fraudulent pages to deceive users by intercepting credentials without adequate context evaluation.
Innovation Solution
A credential detection system that registers and monitors secret information at the operating system level, performs threat assessments using application and network context, and classifies potential phishing attempts, enabling mitigation actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If credential verification is performed against multiple data sources (e.g., government databases, employer records), then authentication reliability is improved, but system complexity and processing time increase
Solution Approach 1:
The credential verification system divides the verification process into separate modules: government database verification, employer record verification, and credential validation. Each module independently checks specific aspects of credentials, allowing the system to handle complex verification requirements through segmented, manageable components rather than a monolithic complex system
Solution Approach 2:
The system introduces a credential verification service as an intermediary layer between the authentication system and multiple data sources. This intermediary consolidates verification logic, manages connections to various databases, and standardizes response formats, thereby reducing overall system complexity while maintaining high reliability through multi-source verification
2Reliability
If real-time credential verification is performed, then authentication security is improved, but processing time and system response speed deteriorate
Solution Approach 1:
The system performs preliminary credential verification during account creation or initial login, establishing authentication security before critical operations occur. This allows real-time verification of credential validity while avoiding the need for continuous real-time checks during subsequent operations, thereby maintaining security without excessively impacting processing speed
Solution Approach 2:
Instead of continuous real-time verification, the system implements periodic credential validation at key authentication points (login, password change, sensitive operation). This periodic approach maintains authentication security by verifying credentials at critical moments while reducing processing overhead compared to continuous verification
3Reliability
If multiple authentication factors are required (e.g., password, biometric, document verification), then authentication reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The authentication system dynamically adjusts the number and type of verification factors based on risk assessment and user context. For low-risk scenarios, fewer verification steps are required, maintaining ease of operation. For high-risk scenarios, additional factors are automatically requested, ensuring high reliability without unnecessarily complicating routine operations
Solution Approach 2:
Different verification requirements are applied to different authentication scenarios and data types. Document verification is required for certain credential types but not others, and biometric verification is selectively applied based on risk level. This localized approach ensures high reliability where needed while maintaining ease of operation for routine authentication
Data Source
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AI summary
The technology described herein identifies and mitigates phishing attempts by analyzing user input received at the operating system level. Initially, a credential, such as a username or password, is registered with the threat detection system. The technology described herein intercepts user input at the operating system level, generates a hash of the input, and compares it with a hash of a credential being monitored. A credential entry is detected when a hash for the character string entered matches a hash for a credential being monitored. The technology described herein will perform a threat assessment when a secret entry is detected. The threat assessment may use the application context and the network context as inputs to the assessment. Various mitigation actions may be taken when a threat is detected.