Moving Laterally to the O365 Cloud Using a Domain Trust Modification Attack - Seguridad Mania.com - España y América Latina

The months following last December’s SolarWinds SUNBURST supply chain attack have brought forth plenty of intelligence around the tactics, techniques, and processes used to compromise thousands of organization’s networks. The threat actors, dubbed the APT group UNC2452, were able to not just move laterally within the victim’s on-premises environment, but also jumped from on-prem to their Microsoft 365 tenant. This hybrid movement can occur via a “Golden SAML” attack, that includes the manipulation of the domain federation trust settings in Azure and potentially within the on-premises AD Federated Services deployment (MITRE ATT&CK technique T1484.002 - Domain Trust Modification) by configuring the domain to accept authorization tokens signed by UNC2452’s SAML signing certificate (technique T1606.002 – Forge Web Credentials: SAML tokens). In this on-demand webinar, Microsoft MVP and cybersecurity expert Nick Cavalancia will first discuss: - The role of ADFS, domain trusts, and certificates - The value of moving laterally from on-prem to the cloud - The potential impact both for the initial and subsequent attacks Nick is then joined by Brian Coulson - Threat Research Principal Engineer, Sally Vincent – Threat Research Senior Engineer, and Dan Kaiser – Threat Research Senior Engineer all at LogRhythm, who provide multiple perspectives while simulating the attack and exploring the log artifacts of the attack from within the LogRhythm SIEM. Brian, Sally, and Dan will explore how a malicious actor could add a federated domain to a Microsoft 365 tenant and discuss how the addition of the federated domain will enable the attacker’s progression towards their objectives. They will simulate the attack and then consider the attack from the standpoint of threat hunter or detection engineer, examining the log artifacts from Azure and on-premises sources. Finally, they will demonstrate threat hunting and real time detection of this technique in the LogRhythm SIEM.