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danushkhanna
commited on
Commit
•
0f5a965
1
Parent(s):
d9bdf5f
Create extract_features.py
Browse files- extract_features.py +266 -0
extract_features.py
ADDED
@@ -0,0 +1,266 @@
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1 |
+
import re
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import whois
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import tldextract
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import time
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from urllib.parse import urlparse, parse_qs
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import requests
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import ipwhois
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import socket
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class ExtractFeatures:
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def parse_url(self, url):
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"""
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+
Parses the given URL and extracts various components.
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+
This method takes in URL input and parses it.
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+
It extracts the domain, directories, files and parameters (if applicable) of the URL.
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+
It also counts the number of top-level domains in the URL.
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+
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+
Args:
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+
url (str): The URL to be parsed.
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Returns:
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tuple: A tuple containing the extracted components of the URL.
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+
- domain (str): The domain name of the URL.
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+
- directories (str): The directories in the URL's path.
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+
- file (str): The file name in the URL's path.
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+
- parameters (dict): A dictionary of query parameters.
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+
- num_tlds (int): The number of top-level domains in the URL.
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+
"""
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# Parse the URL into its components
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if '//' not in url:
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url = '//' + url
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+
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parsed_url = urlparse(url)
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# Extract the domain name
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domain = parsed_url.netloc
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# Extract the path and split it into directories and file name
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path = parsed_url.path
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try:
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directories, file = path.rsplit('/', 1)
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except:
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if '.' in path:
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file = path
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directories = ""
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else:
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directories = path
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file = ""
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# Extract the query parameters
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parameters = parse_qs(parsed_url.query)
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tld_info = tldextract.extract(url)
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tld = tld_info.suffix
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# Count the number of top-level domains
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num_tlds = tld.count('.') + 1
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return domain, directories, file, parameters, num_tlds
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def get_domain_info(self, domain):
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"""
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Retrieves information about a domain.
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+
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This method takes in the domain of a URL as input, and fetches its information.
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It calculates the time elapsed since its creation and time remaining for its expiration.
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Args:
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domain (str): The domain to retrieve information for.
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Returns:
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tuple: A tuple containing the creation and expiration time of the domain in seconds.
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- creation_time_seconds (float): Time elapsed since domain creation in seconds.
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- expiration_time_seconds (float): Time remaining for domain expiration in seconds.
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"""
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try:
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# Get the domain information using python-whois
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domain_info = whois.whois(domain)
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# Extract the creation and expiration time
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creation_time = domain_info.creation_date
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expiration_time = domain_info.expiration_date
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# Convert the time to seconds
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if creation_time != None and expiration_time != None:
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creation_time_seconds = time.mktime(creation_time.timetuple())
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expiration_time_seconds = time.mktime(expiration_time.timetuple())
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else:
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raise ValueError
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except:
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creation_time_seconds = -1
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expiration_time_seconds = -1
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return creation_time_seconds, expiration_time_seconds
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def get_redirects(self, url):
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"""
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Retrieves the number of redirects for a given URL.
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This method takes in a URL as input and assesses the number of times it redirects traffic.
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Args:
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url (str): The URL to retrieve redirects for.
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Returns:
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int: The number of redirects encountered.
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Note:
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The maximum number of redirects is limited to 20 to prevent infinite loops.
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"""
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max_redirects = 20
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# Initialize the redirect count
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redirect_count = 0
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# Follow the redirects
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while True:
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response = requests.get(url, allow_redirects=False)
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if response.status_code == 301 or response.status_code == 302:
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url = response.headers['Location']
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redirect_count += 1
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if redirect_count >= max_redirects:
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break
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else:
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break
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return redirect_count
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+
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def get_features(self):
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"""
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+
Retrieves a list of features used for URL analysis.
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+
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+
This method returns the list of features that must be extracted from the URL to perform analysis.
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Returns:
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list: A list of features used for URL analysis.
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+
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138 |
+
Note:
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+
The features include:
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140 |
+
- length_url: Length of the URL.
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+
- domain_length: Length of the domain name in the URL.
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+
- domain_in_ip: Whether the domain is represented as an IP address.
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+
- directory_length: Length of the directory path in the URL.
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+
- file_length: Length of the file name in the URL.
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+
- params_length: Length of the query parameters in the URL.
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+
- email_in_url: Whether an email address is present in the URL.
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- asn_ip: Autonomous System Number (ASN) associated with the IP address.
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148 |
+
- time_domain_activation: Time of domain activation.
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149 |
+
- time_domain_expiration: Time of domain expiration.
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150 |
+
- tls_ssl_certificate: Availability of TLS/SSL certificate.
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151 |
+
- qty_redirects: Number of redirects encountered.
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+
- qty_char_domain: Number of characters in the domain name.
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+
"""
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+
features_list = ['length_url',
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+
'domain_length',
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'domain_in_ip',
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+
'directory_length',
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'file_length',
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+
'params_length',
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160 |
+
'email_in_url',
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161 |
+
'asn_ip',
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162 |
+
'time_domain_activation',
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163 |
+
'time_domain_expiration',
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164 |
+
'tls_ssl_certificate',
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165 |
+
'qty_redirects',
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166 |
+
'qty_char_domain']
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167 |
+
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168 |
+
return features_list
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169 |
+
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170 |
+
def url_to_features(self, url):
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171 |
+
"""
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172 |
+
Extracts features from a given URL.
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173 |
+
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174 |
+
This method takes in a URL as input and extracts all the relavant features for classification.
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175 |
+
Also, it rearranges the features according to the training dataset of the classfier.
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176 |
+
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177 |
+
Args:
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178 |
+
url (str): The URL to extract features from.
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179 |
+
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180 |
+
Returns:
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181 |
+
dict: A dictionary containing the extracted features.
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182 |
+
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183 |
+
Note:
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184 |
+
The extracted features are the same the the ones specified in the documentation of get_features.
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185 |
+
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186 |
+
See also:
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187 |
+
get_features(): Retrieves a list of features used for URL analysis.
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188 |
+
parse_url(): Parses the given URL and extracts its components.
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189 |
+
get_domain_info(): Retrieves information about a domain.
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190 |
+
get_redirects(): Retrieves the number of redirects for a given URL.
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191 |
+
"""
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192 |
+
features_list = self.get_features()
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193 |
+
new_dataset = {}
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194 |
+
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195 |
+
signs_dict = {"dot":".",
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196 |
+
"hyphen":"-",
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197 |
+
"underline": "_",
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198 |
+
"slash":"/",
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199 |
+
"questionmark": "?",
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200 |
+
"equal":"=",
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201 |
+
"at": "@",
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202 |
+
"and": "&",
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203 |
+
"exclamation": "!",
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204 |
+
"space": " ",
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205 |
+
"tilde": "~",
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206 |
+
"comma": ",",
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207 |
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"plus": "+",
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208 |
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"asterisk": "∗",
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209 |
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"hashtag": "#",
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210 |
+
"dollar": "$",
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211 |
+
"percent": "%"}
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212 |
+
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213 |
+
return_val = self.parse_url(url)
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214 |
+
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215 |
+
if return_val != None:
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216 |
+
domain, directory, file, parameters, new_dataset['qty_tld_url'] = return_val
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217 |
+
else:
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218 |
+
return -1
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219 |
+
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220 |
+
new_dataset['length_url'] = len(url)
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221 |
+
new_dataset['domain_length'] = len(domain)
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222 |
+
new_dataset['directory_length'] = len(directory) if directory != [""] else -1
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223 |
+
new_dataset['file_length'] = len(file) if file != [""] else -1
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224 |
+
new_dataset['params_length'] = len(str(parameters.values())) if parameters != {} else -1
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225 |
+
new_dataset['qty_params'] = len(parameters) if parameters != {} else -1
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226 |
+
new_dataset['time_domain_activation'], new_dataset['time_domain_expiration'] = self.get_domain_info(str(domain))
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227 |
+
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228 |
+
# Check if IP is in domain
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229 |
+
if re.match('\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}', url) is not None:
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230 |
+
new_dataset['domain_in_ip'] = int(True)
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231 |
+
else:
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232 |
+
new_dataset['domain_in_ip'] = int(False)
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233 |
+
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234 |
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# Check for tls certificate
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235 |
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if url[:5] == 'https':
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236 |
+
new_dataset["tls_ssl_certificate"] = int(True)
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237 |
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else:
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238 |
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new_dataset["tls_ssl_certificate"] = int(False)
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239 |
+
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240 |
+
# check for email in url
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241 |
+
if re.search(r'[\w\-.]+@[\w\-.]+\.\w+', url):
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242 |
+
new_dataset['email_in_url'] = int(True)
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243 |
+
else:
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244 |
+
new_dataset['email_in_url'] = int(False)
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245 |
+
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246 |
+
ip_addresses = socket.getaddrinfo(domain, None)
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247 |
+
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248 |
+
# Get the ASN of the IP address
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249 |
+
try:
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250 |
+
results = ipwhois.IPWhois.lookup_rdap(ip_addresses)
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251 |
+
new_dataset['asn_ip'] = results['asn']
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252 |
+
except:
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253 |
+
new_dataset['asn_ip'] = -1
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254 |
+
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255 |
+
try:
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256 |
+
new_dataset['qty_redirects'] = self.get_redirects(url)
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257 |
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except:
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258 |
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new_dataset['qty_redirects'] = -1
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259 |
+
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260 |
+
new_dataset['qty_char_domain'] = 0
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261 |
+
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262 |
+
for sign in signs_dict.values():
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263 |
+
new_dataset['qty_char_domain'] += domain.count(sign)
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264 |
+
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265 |
+
reordered_dict = {k: new_dataset[k] for k in features_list}
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266 |
+
return reordered_dict
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