Social Engineering Attack via Agent Output - ATR-2026-00119 (341fcbe9-955a-536d-a7a6-f5ab55b69751)
Detects agents being used as social engineering vectors against the human user. Attackers can poison agent context to generate urgency-based manipulation, authority impersonation, or emotional pressure tactics. Because users tend to trust agent output more than raw emails, social engineering delivered through an AI agent has higher success rates than traditional phishing.
| Cluster A | Galaxy A | Cluster B | Galaxy B | Level |
|---|---|---|---|---|
| Phishing - T1566 (a62a8db3-f23a-4d8f-afd6-9dbc77e7813b) | Attack Pattern | Social Engineering Attack via Agent Output - ATR-2026-00119 (341fcbe9-955a-536d-a7a6-f5ab55b69751) | Agent Threat Rules | 1 |