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37 lines
1.7 KiB
Python
37 lines
1.7 KiB
Python
import json
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import requests
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from urllib.parse import urlencode, urljoin
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import lxml.html
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from core.prototypes.AbstractScanner import AbstractScanner
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class GDocsScanner(AbstractScanner):
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def __init__(self, timeout:"timeout"):
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pass
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def scan_address(self, prefix:"gdoc_prefix", ghash:"gdoc_hash") -> {"response",
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"gdoc_info", "gdoc_title"}:
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print("Scanning", prefix, ghash)
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response = requests.get(prefix+ghash)
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if response.status_code != 200:
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return {"response":response, "gdoc_info":None, "gdoc_title":None}
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print(response.status_code)
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response_tree = lxml.html.fromstring(response.text)
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(title,) = response_tree.xpath("//meta[@property='og:title']/@content")
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(token_container,) = response_tree.xpath('//script[contains(text(),"token")]')
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token_container = token_container.text
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token_container = token_container[token_container.find("{"):token_container.rfind("}") + 1]
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#print(json.dumps(json.loads(token_container), indent=4, sort_keys=True))
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try:
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info_params = json.loads(token_container)["info_params"]
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except json.JSONDecodeError:
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return {"response":response, "gdoc_info":None, "gdoc_title":None}
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#print(info_params)
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info = None
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if "token" in info_params.keys():
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info_params.update({"id":ghash})
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info_url = urljoin(prefix, ghash+"/docdetails/read?"+urlencode(info_params))
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print(info_url)
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info_text = requests.get(info_url).text
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info = json.loads(info_text[info_text.find("\n") + 1:])
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print(info)
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return {"response":response, "gdoc_info":info,
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"gdoc_title":title}
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