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Threat T9

Identity Spoofing & Impersonation / Agent Identity Compromise

Impersonating trusted agents, users or services, or taking over an agent's own persistent identity and credentials, to act under a trusted identity. Especially problematic in hierarchical or collaborative multi-agent architectures and where agents hold long-lived directory identities.

  • 8/10 risk (Critical)
  • 7 attack vectors
  • 4 mitigating controls
  • 6 framework refs

Open in Threat ModelerAll threats

Overview

  • Impact level: High
  • Risk score: 8/10 (Critical)
  • CIA impact: Confidentiality, Integrity
  • Affected components: Agent Orchestration (KC2.1-KC2.5)
  • Also known as: Identity Spoofing & Impersonation, Agent Identity Compromise
  • Tags: identity, spoofing, authentication, trust, certificates
  • Source: OWASP Agentic AI T&M v1.1 (2025-12)

Attack vectors

How attackers carry out identity spoofing & impersonation / agent identity compromise against an agentic system.

Attack vectorSeverityExample
Agent ImpersonationHighMalicious agent masquerading as trusted system agent
Certificate SpoofingHighForging or stealing agent authentication certificates
Session HijackingMediumTaking over legitimate agent communication sessions
Trust Chain ExploitationHighExploiting trust relationships between agents
Credential TheftHighStealing agent authentication credentials
Man-in-the-Middle AttacksMediumIntercepting and modifying inter-agent communications
Persistent Agent Identity TakeoverHighHijacking a directory-registered agent identity (and its long-lived credentials) to act with that agent's standing permissions

Affected components

KC2 Orchestration (Control Flow)

Mitigating controls

Controls from the catalog that reduce the likelihood or impact of T9.

  • M3 Secure Inter-Agent Communication

    Implement cryptographically secure communication channels between agents with authentication, integrity verification, replay protection, and support for decentralized identity to prevent spoofing, poisoning attacks, and rogue agent infiltration.

  • M10 Defense-in-Depth Architecture & Trust Boundaries

    Implement multiple security layers with clear trust boundaries, network segmentation, cryptographic verification, and zero-trust networking to contain breaches, prevent lateral movement, and protect against privilege compromise, identity spoofing, and rogue agents.

  • M13 Secure Development Lifecycle Integration

    Embed security practices throughout the AI and agent lifecycle with security design reviews, automated testing gates, dependency scanning, and continuous compliance checks.

  • M15 Agent Identity & Authentication Framework

    Implement comprehensive agent identity management with decentralized identifiers, verifiable credentials, and strong authentication to prevent identity spoofing, enable secure agent discovery, and support agent reputation systems.

Framework mappings

OWASP Top 10 for Agentic Applications

Cisco AI Security Taxonomy

OWASP AIVSS core risks

OWASP AISVS

Chapters cited by the mitigating controls: C3 Model Lifecycle Management & Change Control, C4 Infrastructure, Configuration & Deployment Security, C5 Access Control & Identity for AI Components & Users, C6 Supply Chain Security for Models, C9 Orchestration & Agentic Security, C10 Model Context Protocol (MCP) Security.

Requirements: C9.4.1, C9.4.2, C9.5.5, C9.5.7, C10.3.1, C10.3.5, C10.4.6, C5.1.2, C9.3.5, C9.3.6, C9.5.3, C5.2.5, C5.3.1, C4.1.1, C10.1.3, C3.1.1, C3.3.1, C3.4.1, C3.4.2, C6.1.4, C9.4.3, C10.2.1, C10.2.2, C10.2.7.

MITRE ATLAS

Attack walkthroughs

References

Source: OWASP Agentic AI – Threats and Mitigations 1.1 (Dec 2025) · retrieved 2026-11