Impersonation (T1684.001)

Tactic: stealth

Tactics
stealth
Platforms
Linux, macOS, Office Suite, SaaS, Windows
Reference
attack.mitre.org/techniques/T1684.001

Description

Adversaries may impersonate a trusted person or organization in order to persuade and trick a target into performing some action on their behalf. For example, adversaries may communicate with victims (via Phishing for Information, Phishing, or Internal Spearphishing) while impersonating a known sender such as an executive, colleague, or third-party vendor. Established trust can then be leveraged to accomplish an adversary’s ultimate goals, possibly against multiple victims.

In many cases of business email compromise or email fraud campaigns, adversaries use impersonation to defraud victims – deceiving them into sending money or divulging information that ultimately enables Financial Theft.

Adversaries will often also use social engineering techniques such as manipulative and persuasive language in email subject lines and body text such as payment, request, or urgent to push the victim to act quickly before malicious activity is detected. These campaigns are often specifically targeted against people who, due to job roles and/or accesses, can carry out the adversary’s goal.  

Impersonation is typically preceded by reconnaissance techniques such as Gather Victim Identity Information and Gather Victim Org Information as well as acquiring infrastructure such as email domains (i.e. Domains) to substantiate their false identity.(Citation: Crowdstrike BEC)

There is the potential for multiple victims in campaigns involving impersonation. For example, an adversary may Compromise Accounts targeting one organization which can then be used to support impersonation against other entities.(Citation: VEC)

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 stealth tactic this technique falls under. Practitioner-led, focused on real detections, not memorizing technique IDs.

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