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.screens/preview.png
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15
LICENSE
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LICENSE
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ISC License
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Copyright (c) 2023, acidvegas <acid.vegas@acid.vegas>
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Permission to use, copy, modify, and/or distribute this software for any
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purpose with or without fee is hereby granted, provided that the above
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copyright notice and this permission notice appear in all copies.
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THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
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WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
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MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
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ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
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WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
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ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
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OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
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40
README.md
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README.md
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# avoidr
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> masscan with exclusive exclusions
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## Information
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This is still a work in progress.
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This is just a little side project I am working on that will search keywords in a database of **Autonomous System Numbers** *(ASN)*. The ASN is then turned into a list of its respective IP ranges that fall under it using the [BGP View API](https://bgpview.docs.apiary.io/).
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Below is a list of queries we look for:
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```python
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['754th Electronic Systems Group', 'Air Force Systems Command', 'Army & Navy Building', 'Central Intelligence Agency', 'Defense Advanced Research Projects Agency',
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'Department of Homeland Security', 'Department of Justice', 'Department of Transportation', 'DoD Network Information Center', 'Dod Joint Spectrum Center',
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'FBI Criminal Justice Information Systems', 'Institute of Nuclear Power Operations, Inc', 'Merit Network Inc', 'NASA Ames Research Center', 'NASA Deep Space Network (DSN)',
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'NASA Goddard Space Flight Center', 'Navy Federal Credit Union', 'Navy Network Information Center', 'Nuclear Science and Technology Organisation',
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'Organization for Nuclear Research', 'Root Server Technical Operations', 'Securities & Exchange Commission', 'Securities And Exchange Commission', 'U. S. Air Force',
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'U. S. Bureau of the Census', 'U. S. Department of Transportation', 'U.S. Department of Energy', 'USAISC', 'USDOE, NV Operations Office', 'United States Antarctic Program',
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'United States Coast Guard', 'United States Geological Survey', 'United States Naval Institute', 'United States Nuclear Regulatory Commission',
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'United States Patent and Trademark Office', 'United States Postal Service', 'Internet Exchange', 'Stock Exchange','Federal Emergency Management Agency','Federal Aviation Agency',
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'Federal Energy Regulatory Commission','Federal Aviation Administration','Federal Deposit Insurance Corporation','Federal Reserve Board', 'National Aeronautics and Space Administration',
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'US National Institute of Standards & Technology','Government Telecommunications and Informatics Services','U.S. Dept. of Commerce','U.S. Center For Disease Control and Prevention',
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'U.S. Fish and Wildlife Service','Department of National Defence','U.S. Department of State','Bank of America','JPMorgan Chase & Co','Facebook Inc','Twitter Inc']
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```
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The ranges are all stored in a JSON file for easy parsing. Depending on what you are scanning for, this list can be altered to better suit your needs.
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As it stands, there are *4,294,967,296* IPv4 addresses. After excluding reserved, private, & governement ranges, you can drop that number almost in half, thus speeding up your scan times.
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## Todo
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- distributed masscan using the masscan python library
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- masscan exclude.conf output format *(with comments describing the ranges)*
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- possibly find a database that contains all the prefixes behind an ASN *(bgpview heavily throttles and can only handle 1 ASN at a time)* *(for now a bad.json is generated to list empty ASN's)*
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- Seperate queries by sectors *(Government, social media, financial institutons, schools, etc)*
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___
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###### Mirrors
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[acid.vegas](https://git.acid.vegas/avoidr) • [GitHub](https://github.com/acidvegas/avoidr) • [GitLab](https://gitlab.com/acidvegas/avoidr) • [SuperNETs](https://git.supernets.org/acidvegas/avoidr)
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64836
avoidr/asn.txt
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64836
avoidr/asn.txt
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154
avoidr/avoidr.py
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avoidr/avoidr.py
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#/usr/bin/env python
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# avoidr (masscan with exclusive exclusions) - developed by acidvegas in python (https://git.acid.vegas/avoidr)
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import ipaddress
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import json
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import os
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import random
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import urllib.request
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#try:
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# import masscan
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#except ImportError:
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# raise SystemExit('error: missing required \'python-masscan\' library (https://pypi.org/project/python-masscan/)')
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reserved = {
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'4' : {
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'0.0.0.0/8' : '"This" network',
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'10.0.0.0/8' : 'Private networks',
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'100.64.0.0/10' : 'Carrier-grade NAT - RFC 6598',
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'127.0.0.0/8' : 'Host loopback',
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'169.254.0.0/16' : 'Link local',
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'172.16.0.0/12' : 'Private networks',
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'192.0.0.0/24' : 'IETF Protocol Assignments',
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'192.0.0.0/29' : 'DS-Lite',
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'192.0.0.170/32' : 'NAT64',
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'192.0.0.171/32' : 'DNS64',
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'192.0.2.0/24' : 'Documentation (TEST-NET-1)',
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'192.31.196.0/24' : 'AS112-v4',
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'192.52.193.0/24' : 'AMT',
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'192.88.99.0/24' : '6to4 Relay Anycast',
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'192.168.0.0/16' : 'Private networks',
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'192.175.48.0/24' : 'AS112 Service',
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'198.18.0.0/15' : 'Benchmarking',
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'198.51.100.0/24' : 'Documentation (TEST-NET-2)',
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'203.0.113.0/24' : 'Documentation (TEST-NET-3)',
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'224.0.0.0/4' : 'IP Multicast',
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'233.252.0.0/24' : 'MCAST-TEST-NET',
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'240.0.0.0/4' : 'Reserved',
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'255.255.255.255/32' : 'Limited Broadcast'
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},
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'6': {
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'::/128' : 'Unspecified address',
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'::1/128' : 'Loopback address',
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'::ffff:0:0/96' : 'IPv4-mapped addresses',
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'::ffff:0:0:0/96' : 'IPv4 translated addresses',
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'64:ff9b::/96' : 'IPv4/IPv6 translation',
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'64:ff9b:1::/48' : 'IPv4/IPv6 translation',
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'100::/64' : 'Discard prefix',
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'2001:0000::/32' : 'Teredo tunneling',
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'2001:20::/28' : 'ORCHIDv2',
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'2001:db8::/32' : 'Addresses used in documentation and example source code',
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'2002::/16' : 'The 6to4 addressing scheme (deprecated)',
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'fc00::/7' : 'Unique local address',
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'fe80::/64' : 'Link-local address',
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'ff00::/8' : 'Multicast address'
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}
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}
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asn_queries = ['754th Electronic Systems Group', 'Air Force Systems Command', 'Army & Navy Building', 'Central Intelligence Agency', 'Defense Advanced Research Projects Agency',
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'Department of Homeland Security', 'Department of Justice', 'Department of Transportation', 'DoD Network Information Center', 'Dod Joint Spectrum Center',
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'FBI Criminal Justice Information Systems', 'Institute of Nuclear Power Operations, Inc', 'Merit Network Inc', 'NASA Ames Research Center', 'NASA Deep Space Network (DSN)',
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'NASA Goddard Space Flight Center', 'Navy Federal Credit Union', 'Navy Network Information Center', 'Nuclear Science and Technology Organisation',
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'Organization for Nuclear Research', 'Root Server Technical Operations', 'Securities & Exchange Commission', 'Securities And Exchange Commission', 'U. S. Air Force',
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'U. S. Bureau of the Census', 'U. S. Department of Transportation', 'U.S. Department of Energy', 'USAISC', 'USDOE, NV Operations Office', 'United States Antarctic Program',
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'United States Coast Guard', 'United States Geological Survey', 'United States Naval Institute', 'United States Nuclear Regulatory Commission',
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'United States Patent and Trademark Office', 'United States Postal Service', 'Internet Exchange', 'Stock Exchange','Federal Emergency Management Agency','Federal Aviation Agency',
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'Federal Energy Regulatory Commission','Federal Aviation Administration','Federal Deposit Insurance Corporation','Federal Reserve Board', 'National Aeronautics and Space Administration',
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'US National Institute of Standards & Technology','Government Telecommunications and Informatics Services','U.S. Dept. of Commerce','U.S. Center For Disease Control and Prevention',
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'U.S. Fish and Wildlife Service','Department of National Defence','U.S. Department of State','Bank of America','JPMorgan Chase & Co','Facebook Inc','Twitter Inc']
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def ASNquery(asn):
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head = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36'}
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req = urllib.request.Request(f'https://api.bgpview.io/asn/{asn[2:]}', headers=head)
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data = json.loads(urllib.request.urlopen(req).read())
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return (data['data']['name'], data['data']['description_short'])
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def ASNranges(asn, desc):
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head = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36'}
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req = urllib.request.Request(f'https://api.bgpview.io/asn/{asn[2:]}/prefixes', headers=head)
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data = json.loads(urllib.request.urlopen(req).read())
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ranges = dict()
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for version in ('4','6'):
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if pdata := [x['prefix'] for x in data['data'][f'ipv{version}_prefixes']]:
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ranges[version] = pdata
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return ranges
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class Parser:
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def microsoft_office():
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urls = (
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'https://endpoints.office.com/endpoints/USGOVDoD?clientrequestid=b10c5ed1-bad1-445f-b386-b919946339a7',
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'https://endpoints.office.com/endpoints/USGOVGCCHigh?clientrequestid=b10c5ed1-bad1-445f-b386-b919946339a7',
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'https://endpoints.office.com/endpoints/worldwide?clientrequestid=b10c5ed1-bad1-445f-b386-b919946339a7',
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'https://endpoints.office.com/endpoints/China?clientrequestid=b10c5ed1-bad1-445f-b386-b919946339a7'
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)
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ranges = {'IPv4': list(), 'IPv6': list()}
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for url in urls:
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data = json.loads(urllib.request.urlopen(url).read())
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all_ranges = [item for sublist in [item['ips'] for item in data if 'ips' in item] for item in sublist]
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ranges['IPv4'] += [item for item in all_ranges if ':' not in item]
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ranges['IPv6'] += [item for item in all_ranges if ':' in item]
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return ranges
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def google(): # NOTE: These are non-cloud ranges
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data = json.loads(urllib.request.urlopen('https://www.gstatic.com/ipranges/goog.json').read().decode())
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ranges = {'4': list(), '6': list()}
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ranges['4'] += [item['ipv4Prefix'] for item in data['prefixes'] if 'ipv4Prefix' in item]
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ranges['6'] += [item['ipv6Prefix'] for item in data['prefixes'] if 'ipv6Prefix' in item]
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return ranges
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# Main
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bad_asn = json.loads(open('bad.json').read()) if os.path.isfile('bad.json') else dict()
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asn_list = open('asn.txt').readlines()
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bad_list = dict()
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database = dict()
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grand_total = {'4': 0, '6': 0}
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for item in asn_list:
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item = item.rstrip()
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for query in asn_queries:
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if query.lower() in item.lower():
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asn = item.split()[0]
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desc = item.split(' - ')[1] if ' - ' in item else ' '.join(item.split()[2:])
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if asn in bad_asn:
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print('Skippiing bad ASN... ('+asn+')')
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else:
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found = ASNranges(asn, desc)
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if found:
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for version in found:
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total = 0
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for ranges in found[version]:
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total += ipaddress.ip_network(ranges).num_addresses
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grand_total[version] += ipaddress.ip_network(ranges).num_addresses
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print(f'Found \033[32m{len(found[version]):,}\033[0m IPv{version} ranges \033[1;30m({total:,})\033[0m on \033[93m{asn}\033[0m \033[1;30m({desc})\033[0m')
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database[asn] = {'desc': desc, 'ranges': found}
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else:
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print(f'Found \033[1;31m0\033[0m IP ranges on \033[93m{asn}\033[0m \033[1;30m({desc})\033[0m')
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bad_list[asn] = desc
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database['reserved'] = {'4': reserved['4'],'6': reserved['6']}
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for version in database['reserved']:
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total = 0
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for ranges in database['reserved'][version]:
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total += ipaddress.ip_network(ranges).num_addresses
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grand_total[version] += ipaddress.ip_network(ranges).num_addresses
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print('Found \033[32m{0:,}\033[0m IPv{1} ranges \033[1;30m({2:,})\033[0m on \033[93mRESERVED\033[0m \033[1;30m({3})\033[0m'.format(len(database['reserved'][version]), version, total, database['reserved'][version][ranges]))
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with open('db.json', 'w') as fp:
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json.dump(database, fp)
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with open('bad.json', 'w') as fp:
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json.dump(bad_list, fp)
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total_v4 = ipaddress.ip_network('0.0.0.0/0').num_addresses
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total_v6 = ipaddress.ip_network('::/0').num_addresses
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print('Total IPv4 Addresses : {0:,}'.format(total_v4))
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print('Total IPv4 After Clean : {0:,}'.format(total_v4-grand_total['4']))
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print('Total IPv6 Addresses : {0:,}'.format(total_v6))
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print('Total IPv6 After Clean : {0:,}'.format(total_v6-grand_total['6']))
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#mas = masscan.PortScanner() mas.scan('172.0.8.78/24', ports='22,80,8080', arguments='--max-rate 1000') print(mas.scan_result)
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1
avoidr/db.json
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1
avoidr/db.json
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avoidr/search.py
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avoidr/search.py
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#/usr/bin/env python
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# avoidr (masscan with exclusive exclusions) - developed by acidvegas in python (https://git.acid.vegas/avoidr)
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asn = open('asn.txt').readlines()
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while True:
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query = input('Search: ')
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for i in asn:
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if query.lower() in i.lower():
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print(i.rstrip())
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