103 lines
3.3 KiB
Python
103 lines
3.3 KiB
Python
# Copyright (c) 2025 Patrick Motsch
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# All rights reserved.
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"""
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Binary data processing module for data anonymization
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Handles binary data types (images, audio, video, etc.)
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"""
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import base64
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import re
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from typing import Dict, Any, Tuple
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from dataclasses import dataclass
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@dataclass
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class BinaryData:
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"""Repräsentiert Binärdaten"""
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content: str
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data_type: str # 'image', 'audio', 'video', 'document', 'unknown'
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encoding: str # 'base64', 'hex', 'raw'
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class BinaryProcessor:
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"""Handles binary data processing for anonymization"""
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def __init__(self):
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"""Initialize the binary processor"""
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self.supported_types = {
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'image': ['.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff', '.webp'],
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'audio': ['.mp3', '.wav', '.flac', '.aac', '.ogg', '.m4a'],
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'video': ['.mp4', '.avi', '.mov', '.wmv', '.flv', '.mkv', '.webm'],
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'document': ['.pdf', '.doc', '.docx', '.xls', '.xlsx', '.ppt', '.pptx']
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}
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def _detectBinaryType(self, content: str) -> str:
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"""
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Detect if content is binary data and determine type
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Args:
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content: Content to analyze
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Returns:
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str: Binary type or 'text' if not binary
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"""
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# Check if content looks like base64
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if re.match(r'^[A-Za-z0-9+/]*={0,2}$', content.strip()):
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try:
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decoded = base64.b64decode(content)
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# Try to decode as text
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decoded.decode('utf-8')
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return 'text' # It's base64 encoded text
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except (base64.binascii.Error, UnicodeDecodeError):
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# It's binary data
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return 'binary'
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# Check for binary patterns
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if len(content) > 100 and '\x00' in content:
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return 'binary'
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return 'text'
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def isBinaryContent(self, content: str) -> bool:
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"""
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Check if content is binary data
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Args:
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content: Content to check
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Returns:
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bool: True if content is binary
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"""
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return self._detectBinaryType(content) == 'binary'
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def processBinaryContent(self, content: str) -> Tuple[Any, Dict[str, str], list, Dict[str, Any]]:
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"""
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Process binary content for anonymization
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Args:
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content: Binary content to process
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Returns:
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Tuple of (processed_data, mapping, replaced_fields, processed_info)
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"""
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# TODO: Implement binary data neutralization
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# This would require:
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# 1. Detecting binary data types (images, audio, video, etc.)
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# 2. Implementing specific neutralization for each type
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# 3. Handling metadata and embedded content
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# 4. Preserving binary integrity while removing sensitive data
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processedInfo = {
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'type': 'binary',
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'status': 'not_implemented',
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'message': 'Binary data neutralization not yet implemented'
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}
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return content, {}, [], processedInfo
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def getSupportedTypes(self) -> Dict[str, list]:
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"""
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Get list of supported binary file types
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Returns:
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Dict[str, list]: Dictionary of supported types and their extensions
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"""
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return self.supported_types.copy()
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