MIME Sniffer Reconciliation for Browser Security Enforcement
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Solution Overview
Problem
Traditional security models fail to effectively prevent unauthorized access and execution of un-trusted data on computing systems, particularly due to inconsistencies in MIME type information, leading to potential security breaches and identity theft.
Innovation Solution
A security enforcement model that utilizes a MIME sniffer, reconciliation logic, and security logic to evaluate and reconcile MIME types and cache file names, building a security matrix to intercept and restrict un-trusted data, thereby preventing security breaches by updating cache file extensions and class IDs to minimize risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security models are used, then system simplicity is maintained, but security effectiveness deteriorates due to inability to detect MIME type inconsistencies
Solution Approach 1:
The security model is divided into distinct functional modules: MIME sniffer module that detects MIME type inconsistencies, reconciliation logic module that resolves conflicts between reported and actual MIME types, and security logic module that enforces access controls. This segmentation allows each module to perform its specific security function independently, improving overall security effectiveness while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The system performs preliminary security checks by sniffing MIME types and reconciling them with reported types before data access is granted. The MIME sniffer proactively detects inconsistencies and the reconciliation logic preemptively resolves conflicts, preventing potential security breaches before they occur rather than responding to attacks after they happen.
2Reliability
If MIME type verification is performed, then data security is improved, but processing time increases due to additional evaluation steps
Solution Approach 1:
The MIME sniffer and reconciliation logic operate autonomously to detect and resolve MIME type inconsistencies without requiring manual intervention or extensive processing. The system self-verifies data integrity by automatically comparing reported MIME types with actual content types, performing security checks efficiently without significant time overhead.
Solution Approach 2:
The system changes the parameter of MIME type verification from passive acceptance to active validation by introducing the MIME sniffer that detects inconsistencies. The reconciliation logic then adjusts the MIME type parameter based on actual content, ensuring security while minimizing processing time through efficient parameter adjustment rather than complete data reprocessing.
3Measurement precision
If cache file extensions are updated to reflect actual MIME types, then security accuracy is improved, but system complexity increases
Solution Approach 1:
The reconciliation logic acts as an intermediary between the MIME sniffer and the cache file system. It receives the detected MIME type inconsistencies, resolves them by determining the correct MIME type, and then updates the cache file extension accordingly. This intermediary function simplifies the overall system by centralizing the complexity of MIME type resolution in a single logic module rather than distributing it throughout the system.
Data Source
AI summary
A model restricts un-trusted data/objects from running on a user's machine without permission. The data is received by a protocol layer that reports a MIME type associated with the DATA, and caches the data and related cache file name (CFN). A MIME sniffer is arranged to identify a sniffed MIME type based on the cached data, the CFN, and the reported MIME type. Reconciliation logic evaluates the sniffed MIME type and the CFN to determine a reconciled MIME type, and to update the CFN. A class ID sniffer evaluates the updated CFN, the cached data, and the reconciled MIME type to determine an appropriate class ID. Security logic evaluates the updated CFN, the reported class ID, and other related system parameters to build a security matrix. Parameters from the security matrix are used to intercept data/objects before an un-trusted data/object can create a security breach on the machine.