Preparation
Archive Data
Boot Order Manipulation
CCTV Enumeration
Circumventing Security Controls
Data Obfuscation
Data Staging
Device Mounting
Email Collection
External Media Formatting
File Download
File Exploration
Increase Privileges
IT Ticketing System Exploration
Network Scanning
Physical Disk Removal
Physical Exploration
Physical Item Smuggling
Private / Incognito Browsing
Read Windows Registry
Security Software Enumeration
Social Engineering (Outbound)
Software Installation
- Installing Browser Extensions
- Installing Browsers
- Installing Cloud Storage Applications
- Installing FTP Clients
- Installing Messenger Applications
- Installing Note-Taking Applications
- Installing RDP Clients
- Installing Screen Sharing Software
- Installing SSH Clients
- Installing Virtual Machines
- Installing VPN Applications
Software or Access Request
Suspicious Web Browsing
Testing Ability to Print
- ID: PR025
- Created: 02nd December 2024
- Updated: 02nd December 2024
- Contributor: The ITM Team
File Download
The subject downloads one or more files to a system to access the file or prepare for exfiltration.
Prevention
ID | Name | Description |
---|---|---|
PV001 | No Ready System-Level Mitigation | This section cannot be readily mitigated at a system level with preventive controls since it is based on the abuse of fundamental features of the system. |
Detection
ID | Name | Description |
---|---|---|
DT046 | Agent Capable of Endpoint Detection and Response | An agent capable of Endpoint Detection and Response (EDR) is a software agent installed on organization endpoints (such as laptops and servers) that (at a minimum) records the Operating System, application, and network activity on an endpoint.
Typically EDR operates in an agent/server model, where agents automatically send logs to a server, where the server correlates those logs based on a rule set. This rule set is then used to surface potential security-related events, that can then be analyzed.
An EDR agent typically also has some form of remote shell capability, where a user of the EDR platform can gain a remote shell session on a target endpoint, for incident response purposes. An EDR agent will typically have the ability to remotely isolate an endpoint, where all network activity is blocked on the target endpoint (other than the network activity required for the EDR platform to operate). |
DT045 | Agent Capable of User Activity Monitoring | An agent capable of User Activity Monitoring (UAM) is a software agent installed on organization endpoints (such as laptops); typically, User Activity Monitoring agents are only deployed on endpoints where a human user Is expected to conduct the activity.
The User Activity Monitoring agent will typically record Operating System, application, and network activity occurring on an endpoint, with a focus on activity that is or can be conducted by a human user. The purpose of this monitoring is to identify undesirable and/or malicious activity being conducted by a human user (in this context, an Insider Threat).
Typical User Activity Monitoring platforms operate in an agent/server model where activity logs are sent to a server for automatic correlation against a rule set. This rule set is used to surface activity that may represent Insider Threat related activity such as capturing screenshots, copying data, compressing files or installing risky software.
Other platforms providing related functionality are frequently referred to as User Behaviour Analytics (UBA) platforms. |
DT047 | Agent Capable of User Behaviour Analytics | An agent capable of User Behaviour Analytics (UBA) is a software agent installed on organizational endpoints (such as laptops). Typically, User Activity Monitoring agents are only deployed on endpoints where a human user is expected to conduct the activity.
The User Behaviour Analytics agent will typically record Operating System, application, and network activity occurring on an endpoint, focusing on activity that is or can be conducted by a human user. Typically, User Behaviour Analytics platforms operate in an agent/server model where activity logs are sent to a server for automatic analysis. In the case of User Behaviour Analytics, this analysis will typically be conducted against a baseline that has previously been established.
A User Behaviour Analytic platform will typically conduct a period of ‘baselining’ when the platform is first installed. This baselining period establishes the normal behavior parameters for an organization’s users, which are used to train a Machine Learning (ML) model. This ML model can then be later used to automatically identify activity that is predicted to be an anomaly, which is hoped to surface user behavior that is undesirable, risky, or malicious.
Other platforms providing related functionality are frequently referred to as User Activity Monitoring (UAM) platforms. |
DT019 | Chrome Browser History | Google's Chrome browser stores the history of accessed websites and files downloaded.
On Windows, this information is stored in the following location:
On macOS:
On Linux:
Where This database file can be opened in software such as DB Browser For SQLite. The ‘downloads’ and ‘urls’ tables are of immediate interest to understand recent activity within Chrome. |
DT018 | Edge Browser History | Microsoft's Edge browser stores the history of accessed websites and files downloaded.
On Windows, this information is stored in the following location:
On macOS:
On Linux:
Where This database file can be opened in software such as DB Browser For SQLite. The ‘downloads’ and ‘urls’ tables are of immediate interest to understand recent activity within Chrome. |
DT017 | Firefox Browser History | Mozilla's Firefox browser stores the history of accessed websites.
On Windows, this information is stored in the following location:
On macOS:
On Linux:
In this location two database files are relevant, These database files can be opened in software such as DB Browser For SQLite. |