Associated-Threat-Analyzer detects malicious IPv4 addresses and domain names associated with your web application using local malicious domain and IPv4 lists.
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
You can run this application on a container after build a Dockerfile.
docker build -t osmankandemir/threatanalyzer .
docker run osmankandemir/threatanalyzer -d target-web.com
docker pull osmankandemir/threatanalyzer
docker run osmankandemir/threatanalyzer -d target-web.com
-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
https://github.com/OsmanKandemir/indicator-intelligence
https://github.com/stamparm/blackbook
https://github.com/stamparm/ipsum
With this application, it is aimed to accelerate the incident response processes by collecting information in linux operating systems.
Information is collected in the following contents.
/etc/passwd
cat /etc/group
cat /etc/sudoers
lastlog
cat /var/log/auth.log
uptime/proc/meminfo
ps aux
/etc/resolv.conf
/etc/hosts
iptables -L -v -n
find / -type f -size +512k -exec ls -lh {}/;
find / -mtime -1 -ls
ip a
netstat -nap
arp -a
echo $PATH
git clone https://github.com/anil-yelken/pylirt
cd pylirt
sudo pip3 install paramiko
The following information should be specified in the cred_list.txt file:
IP|Username|Password
sudo python3 plirt.py
https://twitter.com/anilyelken06
https://medium.com/@anilyelken