malwaredetector

MalwareDetector

System based on +500 blacklists to detect internet potencially malicious hosts

Description

The library parses more than 500 public blacklists around the internet in order to identify potencially malicious devices.

Among the final blacklist created merging all the other you can find ips, domains and urls that potencially:

• Are infected with malware
• Attack other hosts
• Send spam
• Contains phishing sites
• Are bitcoin nodes
• Are Tor exit nodes
• Are public proxies
• Have bad reputation
• Are related to adware

When you require the blacklist it will start accessing and loading all the blacklists. This process could take from 5 to 10 minutes. The "database" will be a javascript huge dictionary. Each component will be and IP or Domain or IPRange potencially malicios that will have as atributes a title, an array of types (reason/s why this host is potencially malicious), an array of urls (that points to the malicios part of the host), location (only filled if it is an IP) and the references that have pointed to this host.

malicious_comp = "IP/DOMAIN/RANGE": { 
                    title: "",
                    type: [],
                    urls: [],
                    location : {lat: "", lng: ""},
                    references: []
}

Visual representation of a portion of the final database

Please visit MalwareWorld to see only the malicios IPs detected by all the blacklists used and represented in a world map (this page loads more than 150.000 points with its descriptions in the map, so it is recommended to open it in a computer and using chrome and it will take between 2 and 5 minutes. With other browsers it might not load).

Installation

npm install malwaredetector

How to use

The library has been made to be as simple as possible to use. Once the library has had time to load all the blacklists:

const md = require('malwaredetector')

Main functions

You can check if an IP, Domain or URL is malicious just calling: md.isMalicious(INPUT)

> md.isMalicious('stokenewingtoncricketclub.com');
{ malicious: true,
  details:
   { title: 'Malicious Host',
     type: [ 'Malware' ],
     urls: [ '' ],
     location: { lat: '', lng: '' },
     references: [ 'http://www.urlvir.com/export-hosts/' ] 
    } 
}

You can get all the potencially malicious domains with theirs descriptions calling:

md.getMalDomainsList()

You can get all the potencially malicious IPs with theirs descriptions calling:

md.getMalIpsList()

You can get all the potencially malicious IP Ranges with theirs descriptions calling:

md.getMalRangesList()

You can get all the blacklist that does not respond calling:

md.getNotRespondingLists()

Statistics

You can get general statistics of the status of the database and the blacklists by calling:

> md.getGeneralStatistics();
{ num_ips: 171091,
  num_domains: 116897,
  num_ranges: 45534,
  num_blacklists: 522,
  num_notResponding_blacklists: 0,
  total_unique: 333522,
  repeated: 118614 
}

You can access how much potencially malicious hosts were contained in each list and the md5 of the response body by calling:

md.getStatistics()

Renew data

You can reload all the blacklists calling:

md.renewAllData()

You can reload all the not responding blacklists calling:

md.renewNotRespondingData()

You can set an interval to reload every blacklists calling:

md.renewtAllDataInterval(MINUTES)

You can set an interval to reload every not responding blacklists calling:

md.renewNotRespondingDataInterval(MINUTES)

Port

You can set the isMalicious() function to listen in a port calling: md.listenInPort(PORT)

Example

const md = require('malwaredetector');

var day = 24*60;
var hour1   = 1*60;

md.renewtAllDataInterval(day);      	// Reload the blacklists every day
md.renewNotRespondingData(hour1);       // Try to load the not responding blacklists every hour

md.listenInPort(9999);                  // Listen expose the isMalicious() funtion in port 9999  

md.isMalicious('malwareworld.com');     // Check if the domain malwareworld.com is malicious (No, it isn't)

TODO

• Integrate APIs of public databases to query for more information of single IPs or Domains.
• Integrate an algorithm to detect Fast Flux Domains without blacklists.
• Integrate more blacklists
• If you know about blacklists that are not used, please contact me.

License

The MIT License (MIT)

Copyright (c) 2018 Carlos Polop

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

PLEASE, NOTICE THAT IF YOU ARE PLANNING TO USE THE DATABASE CREATED BY THIS SOFTWARE WITH COMMERCIAL PURPOSES YOU SHOULD CHECK THE LICENSE ASSOCIATE WITH EACH BLACKLIST THAT THIS SOFTWARE USES.