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Container Use — agentic threat model

6.6AIVSS 6.6 · Medium

Container Use provides robust sandboxing via Dagger containers and Git-based persistence, but its support for arbitrary toolchains, background services, and image publication introduces significant risks of container escape and supply chain contamination if compromised.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.93Factor sum 6.2/10Threat ×1.0Mitigation ×0.7
Autonomy of Action
0.80
Goal-Driven Planning
0.60
Self-Modification
0.50
Dynamic Tool Use
0.90
Persistent Memory
0.80
Contextual Awareness
0.50
Dynamic Identity
0.30
Multi-Agent Interactions
0.60
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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — the description focuses entirely on the container runtime and environment management rather than the underlying foundation models used to drive the agent.

L2 · Data Operations✓ mapped

State persistence is managed via Git-based storage. Threats include Git repository poisoning, unauthorized state modification, and the exfiltration of sensitive data stored within the persistent container history.

L3 · Agent Frameworks✓ mapped

The agent orchestrates custom toolchains and background services. Vulnerabilities here include insecure tool integration, execution of malicious binaries within the container, and the creation of compromised environment checkpoints.

L4 · Deployment & Infrastructure✓ mapped

Uses Dagger's container runtime for sandboxing. The primary infrastructure threats are container escape, privilege escalation to the host system, and unauthorized network access from background services running inside the container.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — there is no mention of built-in logging, execution monitoring, or guardrails to detect anomalous behavior inside the running containers.

L6 · Security & Compliance (cross-cutting)✓ mapped

Isolation is positioned as the core security control. However, security depends heavily on the configuration of the container runtime, access controls for Git storage, and the trust model of the image publication registry.

L7 · Agent Ecosystem✓ mapped

Designed to provide environments for other agents. A compromised agent could abuse this tool to spin up malicious background services or publish backdoored container images to shared registries, leading to cascading ecosystem failures.

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