- Tactics
- Collection
- Platforms
- IaaS, Linux, macOS, SaaS, Windows
- Reference
- attack.mitre.org/techniques/T1213.006
Description
Adversaries may leverage databases to mine valuable information. These databases may be hosted on-premises or in the cloud (both in platform-as-a-service and software-as-a-service environments).
Examples of databases from which information may be collected include MySQL, PostgreSQL, MongoDB, Amazon Relational Database Service, Azure SQL Database, Google Firebase, and Snowflake. Databases may include a variety of information of interest to adversaries, such as usernames, hashed passwords, personally identifiable information, and financial data. Data collected from databases may be used for Lateral Movement, Command and Control, or Exfiltration. Data exfiltrated from databases may also be used to extort victims or may be sold for profit.(Citation: Google Cloud Threat Intelligence UNC5537 Snowflake 2024)
How GTK Cyber trains on this
GTK Cyber's Threat Hunting with Data Science course teaches you to build machine-learning detections for techniques like this across the MITRE ATT&CK framework, including the Collection tactic this technique falls under. Practitioner-led, focused on real detections, not memorizing technique IDs.
Related techniques
- T1005 — Data from Local System
- T1025 — Data from Removable Media
- T1039 — Data from Network Shared Drive
- T1056 — Input Capture
- T1074 — Data Staged
- T1113 — Screen Capture
- T1114 — Email Collection
- T1115 — Clipboard Data
- T1119 — Automated Collection
- T1123 — Audio Capture
- T1125 — Video Capture
- T1185 — Browser Session Hijacking