In-depth analysis of the new Team9 malware family

Author: Nikolaos Pantazopoulos Co-author: Stefano Antenucci (@Antelox) And in close collaboration with NCC's RIFT. 1. Introduction Publicly discovered in late April 2020, the Team9 malware family (also known as ‘Bazar [1]’) appears to be a new malware being developed by the group behind Trickbot. Even though the development of the malware appears to be recent, … Continue reading In-depth analysis of the new Team9 malware family

LDAPFragger: Command and Control over LDAP attributes

Written by Rindert Kramer Introduction A while back during a penetration test of an internal network, we encountered physically segmented networks. These networks contained workstations joined to the same Active Directory domain, however only one network segment could connect to the internet. To control workstations in both segments remotely with Cobalt Strike, we built a … Continue reading LDAPFragger: Command and Control over LDAP attributes

Detecting random filenames using (un)supervised machine learning

Combining both n-grams and random forest models to detect malicious activity. Author: Haroen Bashir An essential part of Managed Detection and Response at Fox-IT is the Security Operations Center. This is our frontline for detecting and analyzing possible threats. Our Security Operations Center brings together the best in human and machine analysis and we continually … Continue reading Detecting random filenames using (un)supervised machine learning

Office 365: prone to security breaches?

Author: Willem Zeeman "Office 365 again?". At the Forensics and Incident Response department of Fox-IT, this is heard often.  Office 365 breach investigations are common at our department. You’ll find that this blog post actually doesn’t make a case for Office 365 being inherently insecure – rather, it discusses some of the predictability of Office … Continue reading Office 365: prone to security breaches?

Using Anomaly Detection to find malicious domains

Applying unsupervised machine learning to find ‘randomly generated domains. Authors: Ruud van Luijk and Anne Postma At Fox-IT we perform a variety of research and investigation projects to detect malicious activity to improve the service of  our Security Operations Center. One of these areas is applying data science techniques to real world data in real … Continue reading Using Anomaly Detection to find malicious domains

Syncing yourself to Global Administrator in Azure Active Directory

This blog describes a vulnerability discovered by Fox-IT last year in Azure AD Connect, which would allow anyone with account creation privileges in the on-premise Active Directory directory to modify the password of any cloud-only account in Azure AD. Because of the way accounts are commonly configured, this could often enable an attacker to take … Continue reading Syncing yourself to Global Administrator in Azure Active Directory