Not every IOC deserve to enter your internal MISP instance, for obvious quality reasons. But it may be usefull for you analyst to be able to do a broader research on IOC published online.
This tool allows you to qualify one or more potential malicious markers of different type (URL, MD5, SHA1, SHA256, SHA512, IPv4, IPv6, domain etc..). You can run this tool with a Gnu/Linux environement. The Windows compatibility is currently working in BETA version.
BTG was born from a need for Conix's collaborators. During their activities, SOC and DFIR analysts face off a lot of information and metadata of multiple nature that they must classify as malicious or not.
Many knowledge-bases of malicious known activity (aka IOC) are accessible online on various website like VirusTotal, ZeusTracker etc. SOC and CERT can also have their own internal database such as MISP.
Daily tasks for SOC and DFIR analysts is therefore marked out by the research of data like IP addresses, hashs, domains; on these private or public knowledge-bases; these are repetitive and time-consuming actions.
Thus CERT-Conix created a tool allowing analysts to qualify such elements searching many sources.
CuckooSandbox API
Cybercrime-tracker
DShield
Lehigh
Malekal
Malshare
Malwaredomainlist
Malwaredomains
MalwareTeks
MISP (Malware Information Sharing Platform)
MISP Crawler
Nothink
OpenPhish
OTX
RansomwareTracker
SpamHaus
SSLBlacklist
Tor exit nodes
VirusTotal
Vxvault
ZeusTracker
cp modules/template.module modules/yourModuleName.py
vim modules/yourModuleName.py
Change every CHANGEME in the template Then polulate the init method with basic information and fill search() method with the logic needed to check self.ioc against the data provided by your database (basic logic is provided to guide you). Call to display() must be done to print results prettily.
sudo pip install -r requirements.txt
cp config.ini.editme config.ini
vim config.ini
Activate and fill licence key for modules you need to use.
python BTG.py http://mydomain.com 1a72dca1f6a961f528007ef04b6959d8 45.34.191.173
- Lancelot Bogard
- Robin Marsollier