mirror of https://github.com/MISP/misp-modules
75 lines
2.1 KiB
Python
75 lines
2.1 KiB
Python
import json
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import binascii
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import cv2
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import np
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import pytesseract
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misperrors = {'error': 'Error'}
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mispattributes = {'input': ['attachment'],
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'output': ['freetext']}
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moduleinfo = {
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'version': '0.2',
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'author': 'Sascha Rommelfangen',
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'description': 'Module to process some optical character recognition on pictures.',
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'module-type': ['expansion'],
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'name': 'OCR Enrich',
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'logo': '',
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'requirements': ['cv2: The OpenCV python library.'],
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'features': 'The module takes an attachment attributes as input and process some optical character recognition on it. The text found is then passed to the Freetext importer to extract potential IoCs.',
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'references': [],
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'input': 'A picture attachment.',
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'output': 'Text and freetext fetched from the input picture.',
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}
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moduleconfig = []
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def filter_decoded(decoded):
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for line in decoded.split('\n'):
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decoded_line = line.strip('\t\x0b\x0c\r ')
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if decoded_line:
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yield decoded_line
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def handler(q=False):
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if q is False:
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return False
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q = json.loads(q)
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filename = q['attachment']
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try:
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img_array = np.frombuffer(binascii.a2b_base64(q['data']), np.uint8)
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except Exception as e:
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print(e)
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err = "Couldn't fetch attachment (JSON 'data' is empty). Are you using the 'Query enrichment' action?"
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misperrors['error'] = err
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print(err)
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return misperrors
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image = img_array
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image = cv2.imdecode(img_array, cv2.IMREAD_COLOR)
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try:
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decoded = pytesseract.image_to_string(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
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return {
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'results': [
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{
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'types': ['freetext'],
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'values': list(filter_decoded(decoded)),
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'comment': f"OCR from file {filename}"
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}
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]
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}
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except Exception as e:
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print(e)
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err = "Couldn't analyze file type. Only images are supported right now."
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misperrors['error'] = err
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return misperrors
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def introspection():
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return mispattributes
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def version():
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moduleinfo['config'] = moduleconfig
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return moduleinfo
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