oxeo0/darknet-lantern
1
0
Fork 0
mirror of http://git.nowherejezfoltodf4jiyl6r56jnzintap5vyjlia7fkirfsnfizflqd.onion/nihilist/darknet-lantern.git synced 2025-05-17 04:36:57 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

make it cool now

Browse source
This commit is contained in:
root 2025-01-19 17:53:52 +01:00
parent f23a6e3ac8
commit 4d4567caf0
40 changed files with 504 additions and 611 deletions
Download patch file Download diff file Expand all files Collapse all files

255
scripts/tests/csvwork2.py
View file

@ -1,255 +0,0 @@
import csv, json, pandas as pd, glob, re
def main():
#print("aaa")
vcsvfile="verified.csv"
vdf = pd.read_csv(vcsvfile)
unverifiedcsvfile="unverified.csv"
uvdf = pd.read_csv(unverifiedcsvfile)
blcsvfile="blacklist.csv"
bldf = pd.read_csv(blcsvfile)
secsvfile="sensitive.csv"
sedf = pd.read_csv(secsvfile)
###########
# list every word in the blacklist wordlist csv file
# for each word, check if it matches with any of the rows in unverified.csv
# if it matches (on any column!), remove that row and write to the csv file
########### SANITY CHECKS ON UNVERIFIED.CSV ##################
#print(bldf[['blacklisted-words']])
bldf[['blacklisted-words']].iterrows()
rows2delete= [] # it is an empty list at first
for i,j in uvdf.iterrows():
#print("[+] Unverified.csv ROW=",i, uvdf.at[i, 'Instance'], uvdf.at[i, 'Category'], uvdf.at[i, 'Name'], uvdf.at[i, 'URL'], uvdf.at[i, 'Description'])
#print("[+] Unverified.csv ROW=",i, uvdf.iloc[[i]])
#row=uvdf.iloc[[i]] #it displays the index
row=uvdf.loc[i,:].values.tolist()
#print(i,row)
### SANITY CHECK 1: Mark all the rows that have incorrect formatting for deletion###
#print("[+] ROW=",i,"ROW CONTENTS=", IsUrlValid(uvdf.at[i, 'Instance']), IsCategoryValid(uvdf.at[i, 'Category']), IsNameValid(uvdf.at[i, 'Name']), IsUrlValid(uvdf.at[i, 'URL']), IsStatusValid(uvdf.at[i, 'Sensitive']), IsDescriptionValid(uvdf.at[i, 'Description']), IsStatusValid(uvdf.at[i, 'Status']), IsScoreValid(uvdf.at[i, 'Score']))
if IsUrlValid(uvdf.at[i, 'Instance']) is False or IsCategoryValid(uvdf.at[i, 'Category']) is False or IsNameValid(uvdf.at[i, 'Name']) is False or IsUrlValid(uvdf.at[i, 'URL']) is False or IsStatusValid(uvdf.at[i, 'Sensitive']) is False or IsDescriptionValid(uvdf.at[i, 'Description']) is False or IsStatusValid(uvdf.at[i, 'Status']) is False or IsScoreValid(uvdf.at[i, 'Score']) is False:
#mark the row for deletion as it has invalid inputs
if i not in rows2delete:
print("Marking row", i,"for deletion, as it has invalid inputs")
rows2delete.append(i) #mark the row for deletion if not already done
### SANITY CHECK 2: Mark all rows that are not allowed (blacklist) for deletion ###
for k,l in bldf.iterrows():
#print("[+] Blacklisted word=",k, bldf.at[k, 'blacklisted-words'])
blword=bldf.at[k, 'blacklisted-words']
if any(blword in str(x) for x in row) == True:
#print("found blacklisted word! marking row for deletion")
if i not in rows2delete:
print("Marking row", i,"for deletion, as it matches with a blacklisted word")
rows2delete.append(i) #mark the row for deletion if not already done
### SANITY CHECK 3: Mark all the rows that are supposed to be sensitive ###
for k,l in sedf.iterrows():
#print("[+] Sensitive word=",k, sedf.at[k, 'sensitive-words'])
seword=sedf.at[k, 'sensitive-words']
if any(seword in str(x) for x in row) == True:
if uvdf.at[i, 'Sensitive'] != '✔️':
print("Marking row", i,"as sensitive, as it matches with a sensitive word")
uvdf.at[i, 'Sensitive']='✔️'
print('[-] Rows to delete: ',rows2delete)
for i in rows2delete:
row=uvdf.loc[i,:].values.tolist()
print('[+] REMOVING ROW :',i,row)
uvdf.drop(i, inplace= True)
uvdf.to_csv(unverifiedcsvfile, index=False)
##############################################
# list every word in the sensitive wordlist csv file
# if it matches (on any column!), mark the sensitive column as V
#############################################################################
return True
##############################################################################
#### PROTECTIONS AGAINST MALICIOUS CSV INPUTS ####
def IsOnionValid(url: str)-> bool:
"""
Checks if the domain(param) is a valid onion domain and return True else False.
"""
# check if the characters are only [a-zA-Z0-9.] with maximum 128 chars max?
# check that it is only url.onion or subdomain.url.onion,
# if OK return True
#if not : return False
try:
pattern = re.compile("^[A-Za-z0-9.]+(\.onion)?$")
url = url.strip().removesuffix('/')
if url.startswith('http://'):
#print('URL starts with http')
# Removes the http://
domain = url.split('/')[2]
if pattern.fullmatch(domain) is not None:
if len(domain.split('.')) > 3:
n_subdomians = len(domain.split('.'))
# Checks if there is more than 1 subdomain. "subdomain.url.onion" only
#print(f"This domain have more than one subdomain. There are {n_subdomians} subdomains")
return False
else:
if len(domain) < 62:
#print("Domain length is less than 62.")
return False
return True
elif pattern.fullmatch(domain) is None:
#print("Domain contains invalid character.")
#print(domain)
return False
else:
#print("Domain not valid")
return False
else:
#print("URL doesn't start http")
if pattern.fullmatch(url) is not None:
if len(url.split('.')) > 3:
n_subdomians = len(url.split('.'))
# Checks if there is more than 1 subdomain. "subdomain.url.onion" only
#print(f"This domain have more than one subdomain. There are {n_subdomians - 1} subdomains")
return False
else:
if len(url) < 62:
#print("Domain length is less than 62.")
return False
return True
elif pattern.fullmatch(url) is None:
#print("Domain contains invalid character.")
#print(url)
return False
else:
#print("Domain not valid")
return False
except Exception as e:
print(f"Error: {e}")
def IsUrlValid(url:str)->bool:
"""
Check if url is valid both dark net end clearnet.
"""
# check if the characters are only [a-zA-Z0-9.:/] with maximum 128 chars max?
# check that it is only http(s)://wordA.wordB or http(s)://WordC.WordB.WordC, (onion or not), clearnet is fine too (double check if those are fine!)
# if OK return True
#if not : return False
pattern = re.compile("^[A-Za-z0-9:/.]+$")
if url.endswith('.onion'):
return IsOnionValid(url)
else:
if not url.__contains__('.'):
#print("No (DOT) in clearnet url")
return False
if pattern.fullmatch(url) is None:
#print('Url contains invalid chars')
return False
return True
def IsStatusValid(status: str)-> bool:
"""
Checks if status contains only [v,x,❌,✔️]. Verbose only if False is returned
"""
pattern = ['y','n','✔️','❌','','nan']
status = str(status)
status.strip()
#print('[+] STATUS = ',status.splitlines())
if len(status) > 4:
#print("Status: Got more than one character or nothing.")
return False
elif (status not in pattern):
#print("Status: Got an invalid character it must be either y, n, ✔️, or ❌ ")
return False
return True
def IsScoreValid(score:str)->bool:
"""
Check the Score is only "^[0-9.,]+$" with 8 max chars.
"""
# check if the characters are only [a-zA-Z0-9.,' ] with maximum 256 chars max
#(careful with the ' and , make sure you test if it fucks the csv up or else)
# if OK return True
#if not : return False
pattern = re.compile("^[0-9.,]+$")
score = str(score)
score.strip()
if pattern.fullmatch(score) is None:
# empty description is fine as it's optional
return False
elif len(score) > 8:
#print("score is greater than 8 chars")
return False
# empty score is fine
return True
def IsDescriptionValid(desc:str)->bool:
"""
Check the categories are only [a-zA-Z0-9,.' ] with 256 max chars.
"""
# check if the characters are only [a-zA-Z0-9.,' ] with maximum 256 chars max
#(careful with the ' and , make sure you test if it fucks the csv up or else)
# if OK return True
#if not : return False
pattern = re.compile("^[A-Za-z0-9-.,' ]+$")
desc.strip()
if pattern.fullmatch(desc) is None:
# empty description is fine as it's optional
return False
if desc == "DEFAULT":
return False
elif len(desc) > 256:
#print("desc is greater than 256 chars")
return False
return True
def IsCategoryValid(categories: list)-> bool:
"""
Check the categories are only [a-zA-Z0-9 ] with 64 max chars.
"""
# check if the characters are only [a-zA-Z0-9 ] with maximum 64 chars max
#(careful with the ' and , make sure you test if it fucks the csv up or else)
# if OK return True
#if not : return False
pattern = re.compile("^[A-Za-z0-9 ]+$")
for category in categories:
category.strip()
if pattern.fullmatch(category) is None:
#print('Got an empty list or invalid chars')
return False
elif len(category) > 64:
#print('Category is too long')
return False
else:
return True
def IsNameValid(name: str)->bool:
"""
Check the parameter name only contains [a-zA-Z0-9 ] and is 64 chars long.
"""
# check if the characters are only [a-zA-Z0-9 ] with maximum 64 chars max
#(careful with the ' and , make sure you test if it fucks the csv up or else)
# if OK return True
#if not : return False
pattern = re.compile("^[A-Za-z0-9 ]+$")
name = name.strip()
if (pattern.fullmatch(name) is None):
#print("Got an invalid character or nothing")
return False
elif len(name) > 64:
#print(f'Got a name length greater than 64. {len(name)}')
return False
return True
if __name__ == '__main__':
main()