Threaticon
Toggle sidebar

You're viewing a limited, public preview. Log in for full access.

Log in User Guide
Log in Get started
Attack Patterns T1025 — Data from Removable Media
T1025

Data from Removable Media

Collection
TLP:CLEAR

Description

Adversaries may search connected removable media on computers they have compromised to find files of interest. Sensitive data can be collected from any removable media (optical disk drive, USB memory, etc.) connected to the compromised system prior to Exfiltration. Interactive command shells may be in use, and common functionality within cmd may be used to gather information. Some adversaries may also use Automated Collection on removable media.

MITRE ATT&CK Detection Strategies
1

DET0511 Detection of Data Access and Collection from Removable Media
AN1410 Windows

Adversary mounts a USB device and begins enumerating, copying, or compressing files using scripting engines, cmd, or remote access tools.

WinEventLog:Security WinEventLog:System WinEventLog:Sysmon
AN1411 Linux

Adversary mounts external drive to /media or /mnt then accesses or copies targeted data via shell, cp, or tar.

auditd:SYSCALL journald:systemd auditd:SYSCALL
AN1412 macOS

Adversary attaches USB drive and accesses sensitive files using Finder, cp, or bash scripts.

macos:unifiedlog fs:fsusage macos:osquery

MITRE ATT&CK Mitigations
1

M1057

Data Loss Prevention

Data Loss Prevention (DLP) involves implementing strategies and technologies to identify, categorize, monitor, and control the movement of sensitive data within an organization. This includes protecting data formats indicative of Personally Identifiable Information (PII), intellectual property, or financial data from unauthorized access, transmission, or exfiltration. DLP solutions integrate with network, endpoint, and cloud platforms to enforce security policies and prevent accidental or malicious data leaks. (Citation: PurpleSec Data Loss Prevention) This mitigation can be implemented through the following measures: Sensitive Data Categorization: - Use Case: Identify and classify data based on sensitivity (e.g., PII, financial data, trade secrets). - Implementation: Use DLP solutions to scan and tag files containing sensitive information using predefined patterns, such as Social Security Numbers or credit card details. Exfiltration Restrictions: - Use Case: Prevent unauthorized transmission of sensitive data. - Implementation: Enforce policies to block unapproved email attachments, unauthorized USB usage, or unencrypted data uploads to cloud storage. Data-in-Transit Monitoring: - Use Case: Detect and prevent the transmission of sensitive data over unapproved channels. - Implementation: Deploy network-based DLP tools to inspect outbound traffic for sensitive content (e.g., financial records or PII) and block unapproved transmissions. Endpoint Data Protection: - Use Case: Monitor and control sensitive data usage on endpoints. - Implementation: Use endpoint-based DLP agents to block copy-paste actions of sensitive data and unauthorized printing or file sharing. Cloud Data Security: - Use Case: Protect data stored in cloud platforms. - Implementation: Integrate DLP with cloud storage platforms like Google Drive, OneDrive, or AWS to monitor and restrict sensitive data sharing or downloads.

Details

Platforms
Linux
Macos
Windows
Added
May 2, 2026
Leaving Threaticon

This link opens an external site that isn't part of the platform.