File Format Validation via Header Content Consistency
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Solution Overview
Problem
Conventional file format verification methods rely on databases and signatures, which can be outdated and manipulated, leading to security risks and unreliable trustability of file integrity.
Innovation Solution
A method that dynamically parses data from a file's header, leading bytes, and actual content to validate the file format type by comparing parsed data for consistency, allowing for real-time detection of potential malicious content and sanitization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If database-based file format verification is used, then file type identification can be performed, but the databases become outdated and can be manipulated, reducing security and reliability
Solution Approach 1:
The file format verification system uses self-service by having the file itself provide the verification information through its internal structure. The header contains format type identifiers and the content blocks contain actual data that can be analyzed to verify the file format without external databases. The system parses the header to extract format information and compares it with the actual content structure, allowing the file to verify its own format authenticity.
Solution Approach 2:
The invention extracts the verification information directly from the file's internal structure rather than relying on external databases. It takes out the format type identifier from the header and the structural characteristics from the content blocks, then compares these extracted elements to verify file format authenticity, eliminating dependency on external database information.
2Reliability
If signature-based verification with magic numbers is used, then file format can be identified, but the signatures can be purposely modified, compromising security
Solution Approach 1:
The verification process is segmented into multiple independent analysis stages: parsing the header to extract format information, analyzing the content block structure, verifying leading bytes, and cross-checking multiple data points. This segmentation allows the system to verify file format through multiple independent checks rather than relying on a single vulnerable signature, making manipulation significantly more difficult.
Solution Approach 2:
The system implements feedback by parsing data from multiple sources within the file (header format identifiers, content block structures, leading bytes) and cross-checking for consistency. The verification process continuously compares extracted information against expected format specifications and uses the results to determine file authenticity, creating a feedback loop that enhances detection of manipulated signatures.
3Measurement precision
If comprehensive database updates are performed to maintain file format knowledge, then verification accuracy improves, but system complexity and resource requirements increase
Solution Approach 1:
The system eliminates the need for external database maintenance by using self-service verification. The file's own internal structure—its header, content blocks, and leading bytes—serves as the verification source. This approach maintains high detection accuracy without requiring complex database updates, as the verification information is embedded within each file itself rather than stored externally.
Data Source
AI summary
A method for securely validating the file format type including receiving a file having a file format type, a header and a content block. The header has a header block with a description representing attributes of the actual content in the file. The content block has leading bytes representing attributes of the actual content, and actual content. Data is parsed from the description of the header block, the leading bytes and the actual content. Data from the description is compared to the data from the leading bytes, data from the leading bytes is compared to the data from the actual content, and data from the description is compared to the data from the actual content. The file format type is validated and trustable when the data from the description, the data from the leading bytes and the data from the actual content are consistent with one another.