backend-api-security — agentic threat model
This agent possesses a critical risk profile due to its direct authority to modify backend authentication, authorization, and security configurations. A compromise or prompt injection attack could result in the silent injection of backdoors or security bypasses directly into the application's trust boundary.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.70 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.50 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — assumes Claude models via Claude Code. Threats include adversarial prompt injection causing the model to generate subtly flawed cryptographic or authorization logic.
Not certain from the listing — primarily reads local codebase files and auth configs rather than a dedicated vector database. Threats include local codebase poisoning where malicious pre-existing code misleads the agent's context.
Operates as a Claude Code plugin orchestrating subagents. Threats include insecure tool integration where file-writing tools are manipulated to overwrite critical system files or inject malicious dependencies.
Not certain from the listing — runs within the developer's local environment or CI/CD pipeline. Threats include local host compromise or privilege escalation if the plugin executes arbitrary shell commands during code hardening.
Not certain from the listing — no built-in evaluation or guardrails are specified. Threats include silent generation of insecure code or backdoors that bypass standard static analysis (SAST) tools.
Directly operates on the application's trust boundary (auth/authz, rate limiting). Threats include the accidental or malicious degradation of compliance controls, leading to broken object-level authorization (BOLA) or authentication bypasses.
Bundles multiple subagents for specific security tasks. Threats include cascading failures where an input validation subagent fails to catch a flaw introduced by an authz subagent, or trust abuse between the subagents.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).