Impersonation
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, or Spearphishing via Social Engineering LLM) 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.
Adversaries may target resources that are part of the AI DevOps lifecycle, such as model repositories, container registries, and software registries.
- ATLAS ID
- AML.T0073
- Maturity
- RealizedUsed by real adversaries against AI systems in the wild.
- Platforms
- Enterprise
Mitigations
ATLAS 2026.09 lists no mitigation for this technique.
Case studies that use it
- AML.CS0027Organization Confusion on Hugging Face
- AML.CS0033Live Deepfake Image Injection to Evade Mobile KYC Verification
- AML.CS0034ProKYC: Deepfake Tool for Account Fraud Attacks
- AML.CS0044LAMEHUG: Malware Leveraging Dynamic AI-Generated Commands
- AML.CS0053Poisoned Postmark MCP Server Email Exfiltration
Related ATT&CK technique
ATLAS adapts this technique from MITRE ATT&CK Enterprise.