Anti-Forensics
Clear Browser Artifacts
Clear Command History
Clear Operating System Logs
Delete User Account
Disk Wiping
File Deletion
File Encryption
Hide Artifacts
Log Tampering
Modify Windows Registry
Physical Destruction of Storage Media
Physical Removal of Disk Storage
Steganography
System Shutdown
Timestomping
Tripwires
Uninstalling Software
Use of a Virtual Machine
- ID: AF016
- Created: 30th July 2024
- Updated: 31st July 2024
- Platforms: Windows, Linux, MacOS
- Contributor: Pyae Heinn Kyaw
Uninstalling Software
The subject uninstalls software, which may also remove relevant artifacts from the system's disk, such as regsitry keys or files necessary for the software to run, preventing them from being used by investigators to track activity.
Prevention
ID | Name | Description |
---|---|---|
PV015 | Application Whitelisting | By only allowing pre-approved software to be installed and run on corporate devices, the subject is unable to install software themselves. |
PV003 | Enforce an Acceptable Use Policy | An Acceptable Use Policy (AUP) is a set of rules outlining acceptable and unacceptable uses of an organization's computer systems and network resources. It acts as a deterrent to prevent employees from conducting illegitimate activities by clearly defining expectations, reinforcing legal and ethical standards, establishing accountability, specifying consequences for violations, and promoting education and awareness about security risks. |
PV002 | Restrict Access to Administrative Privileges | The Principle of Least Privilege should be enforced, and period reviews of permissions conducted to ensure that accounts have the minimum level of access required to complete duties as per their role. |
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. |
DT095 | Windows Event Log, Software Uninstallation | In some cases it is possible to identify software that has been uninstalled by reviewing two specific Event IDs within the
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DT036 | Windows Jump Lists | Windows Jump Lists are a feature that provides quick access to recently or frequently used files. |
DT026 | Windows LNK Files | LNK files or Shortcut files are stored in the location These files are automatically created when a user account accesses a file through Windows Explorer. This artifact can provide information as to when a file was accessed, modified, and created, the file path and name, and the file size. .LNK files persist even if the actual file has been deleted, helping to uncover if a file has been accessed then subsequently deleted or moved as it is no longer present in the recorded full file path. |
DT027 | Windows Prefetch | In modern versions of the Windows operating system, the prefetch feature serves an important function in speeding up the run time of applications. It does this by creating a cache of information on an application on its first run that is is stored for later reference in These created files contain the created and modified timestamps of the respective file, the file size, process path, how many times it has been run, the last time it was run, and resources it references in the first 10 seconds of execution. Since every executable that is run will have a prefetch file created when the feature is enabled, the prefetch directory and the contents within it can offer new and valuable insights during an investigation, particularly when the original executable no longer exists. |