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Ace by General Agents — agentic threat model

9.7AIVSS 9.7 · Critical

Ace presents an exceptionally high risk profile due to its ability to simulate mouse and keyboard inputs across the entire desktop environment. Without robust sandboxing or strict human-in-the-loop controls, visual prompt injections from on-screen content could lead to complete host compromise.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 9.3AARS uplift 0.41Factor sum 5.3/10Threat ×1.1Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.80
Self-Modification
0.10
Dynamic Tool Use
0.90
Persistent Memory
0.30
Contextual Awareness
0.70
Dynamic Identity
0.20
Multi-Agent Interactions
0.10
Non-Determinism
0.70
Opacity & Reflexivity
0.70

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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The underlying vision-language or LLM foundation models are not specified, but they are highly susceptible to visual prompt injection (e.g., malicious text rendered on screen) and adversarial UI elements that could hijack the agent's desktop actions.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — While trained on over a million tasks, the data pipeline, training sources, and protection against training data poisoning or fine-tuning contamination are undisclosed.

L3 · Agent Frameworks✓ mapped

Ace translates visual screen inputs into mouse/keyboard actions. The primary threat is indirect prompt injection where untrusted content displayed on screen (such as an open webpage or document) manipulates the orchestration framework into executing malicious OS-level inputs.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — It is unclear if the desktop agent runs in a secure local sandbox or has unrestricted access to the host operating system, posing severe risks of privilege escalation and host compromise.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No logging, guardrails, or real-time monitoring mechanisms are detailed to detect or intercept anomalous or destructive mouse/keyboard sequences before execution.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — There is no mention of enterprise security controls, access policies, or compliance certifications (e.g., SOC2), which is critical given its unrestricted desktop access.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The agent is described as a standalone desktop automation tool; there is no evidence of multi-agent coordination or marketplace integrations that could introduce cascading trust issues.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).

These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.