SharpML is a proof of concept file share data mining tool using Machine Learning in Python and C#. The tool is discussed in more detail on this blog here, but is summarised below also. SharpML performs a number of operations with a view to mining file shares, querying Active Directory for users, dropping an ML model and associated rules, performing Active Directory authentication checks, with a view to automating the process of hunting for passwords in file shares by feeding the mined data into the ML model.
Read More »Vulnerable docker environment for learning to hack
Vulhub is an open-source collection of pre-built vulnerable docker environment for learning to hack. No pre-existing knowledge of docker is required, just execute two simple commands and you have a vulnerable environment.
Read More »Exploit ACL Based Privilege Escalation Paths in Active Directory
Aclpwn.py is a tool that interacts with BloodHound to identify and exploit ACL based privilege escalation paths. It takes a starting and ending point and will use Neo4j pathfinding algorithms to find the most efficient ACL based privilege escalation path.
Read More »Avoiding Web Application Firewall using Python
Web application firewalls are usually placed in front of the web server to filter the malicious traffic coming towards server. If you arehired as a penetration tester for some company and they forgot to tell you that they are using web application firewall than you might get into a serious …
Read More »The Emergence of the New Azorult 3.3
During the last week, Check Point Research spotted a new version of Azorult in the wild being delivered through the RIG exploit kit, as well as other sources. Azorult is a long known information stealer and malware downloader, with this particular version being advertised in an underground forum since October …
Read More »