Ralph — agentic threat model
Ralph is a highly autonomous coding agent with direct bash execution capabilities, presenting a significant security risk if exposed to untrusted PRDs or codebases due to the lack of sandboxing and human-in-the-loop controls.
OWASP AIVSS score rationale
| Autonomy of Action | 0.90 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.70 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.70 | |
| 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 — relies on external models via Claude Code or Amp CLI. Threats include prompt injection via malicious PRD files or codebase comments, which could hijack the agent's execution flow.
Uses git history, prd.json, and progress.txt for state and context. Threats include data poisoning where a malicious PRD or modified git history manipulates the agent's state machine, goals, or file writes.
Orchestrates an autonomous loop running Amp CLI/Claude Code and executing bash automation. High risk of tool misuse (arbitrary bash execution) and insecure tool integration if input PRDs are untrusted.
Not certain from the listing — likely runs locally on developer machines or in CI/CD pipelines. Lacks sandboxing details, posing severe risks of host compromise, privilege escalation, and lateral movement via bash execution.
Uses progress.txt and git history to track state. However, there are no mentioned security guardrails, real-time monitoring, or anomaly detection to catch malicious code generation or destructive bash commands.
Not certain from the listing — no built-in authentication, authorization, or policy enforcement mechanisms are mentioned. Operates with the permissions of the local user/git SSH keys.
Not certain from the listing — primarily a single-agent loop, but interacts with external CLI tools (Claude Code, Amp CLI). Risks include cascading failures if these external tools or their APIs are compromised.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).