Associated-Threat-Analyzer - Detects Malicious IPv4 Addresses And Domain Names Associated With Your Web Application Using Local Malicious Domain And IPv4 Lists
Associated-Threat-Analyzer detects malicious IPv4 addresses and domain names associated with your web application using local malicious domain and IPv4 lists.
Installation
From Git
git clone https://github.com/OsmanKandemir/associated-threat-analyzer.git
cd associated-threat-analyzer && pip3 install -r requirements.txt
python3 analyzer.py -d target-web.com
From Dockerfile
You can run this application on a container after build a Dockerfile.
Warning : If you want to run a Docker container, associated threat analyzer recommends to use your malicious IPs and domains lists, because maintainer may not be update a default malicious IP and domain lists on docker image.
docker build -t osmankandemir/threatanalyzer .
docker run osmankandemir/threatanalyzer -d target-web.com
From DockerHub
docker pull osmankandemir/threatanalyzer
docker run osmankandemir/threatanalyzer -d target-web.com
Usage
-d DOMAIN , --domain DOMAIN Input Target. --domain target-web1.com
-t DOMAINSFILE, --DomainsFile Malicious Domains List to Compare. -t SampleMaliciousDomains.txt
-i IPSFILE, --IPsFile Malicious IPs List to Compare. -i SampleMaliciousIPs.txt
-o JSON, --json JSON JSON output. --json
DONE
- First-level depth scan your domain address.
TODO list
- Third-level or the more depth static files scanning for target web application.
Other linked github project. You can take a look.
Finds related domains and IPv4 addresses to do threat intelligence after Indicator-Intelligence v1.1.1 collects static files
https://github.com/OsmanKandemir/indicator-intelligence
Default Malicious IPs and Domains Sources
https://github.com/stamparm/blackbook
https://github.com/stamparm/ipsum
Development and Contribution
See; CONTRIBUTING.md
Associated-Threat-Analyzer - Detects Malicious IPv4 Addresses And Domain Names Associated With Your Web Application Using Local Malicious Domain And IPv4 Lists
Reviewed by Zion3R
on
8:30 AM
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