Threat Hunting over Internal Devices via KQL Queries

Threat Hunting over Internal Devices via KQL Queries

This article explores the critical importance of detecting lateral movement within internal networks after initial intrusion, focusing on internal devices like routers, printers, and IoT devices. It emphasizes monitoring for suspicious connections to high-risk countries and internal endpoints to prevent escalation and exfiltration activities. #CyberThreatHunting #InternalNetworkSecurity

Keypoints

  • Attackers often exploit internal entry points like compromised VPN credentials or misconfigured jump-boxes.
  • Many internal devices, such as routers and printers, lack proper logging and still use default or weak credentials, making them easy targets.
  • Detecting unusual internal endpoint connections and lateral movement is essential for early threat identification.
  • Queries can identify attempts by internal devices to connect to high-risk countries, highlighting potential exfiltration activity.
  • Monitoring internal network activity on devices like cameras, IoT appliances, and smart TVs reveals overlooked attack vectors.

Read More: https://detect.fyi/threat-hunting-over-internal-devices-via-kql-queries-12b607b89c93?source=rss—-d5fd8f494f6a—4