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StackPilot — agentic threat model

8.7AIVSS 8.7 · High

StackPilot presents a high risk profile due to its deep integration into software development workflows, code repositories, and deployment pipelines, making it a high-value target for supply chain attacks despite its open-source nature.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.63Factor sum 4.0/10Threat ×1.05Mitigation ×0.95
Autonomy of Action
0.40
Goal-Driven Planning
0.50
Self-Modification
0.10
Dynamic Tool Use
0.60
Persistent Memory
0.40
Contextual Awareness
0.70
Dynamic Identity
0.20
Multi-Agent Interactions
0.20
Non-Determinism
0.50
Opacity & Reflexivity
0.40

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 — StackPilot likely relies on third-party LLMs or local open-source models for code analysis and predictive insights. Threats include prompt injection altering code recommendations or model output manipulation.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The agent analyzes real-time workspace data and project management tasks. Threats include exposure of proprietary source code, poisoning of local context/vector stores, and lack of data lineage for training/fine-tuning.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — Orchestration likely handles tool calling for VCS (Git) and project management APIs. Threats include insecure tool integration, prompt injection leading to unauthorized repository actions, or malicious code execution via tool outputs.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — As an open-source tool, deployment could be local or self-hosted. Threats include insecure storage of API keys/secrets for integrated systems and lack of sandboxing when analyzing untrusted code.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No built-in evaluation or guardrail mechanisms are detailed. Gaps in observability could lead to undetected drift in predictive insights or silent failures in automated workflows.

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

Not certain from the listing — Compliance controls, RBAC, and audit logging are not specified. Integrating with deployment pipelines without strict access controls poses significant compliance and supply chain risks.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — While it integrates with existing developer tools, there is no explicit multi-agent orchestration or marketplace interaction mentioned, limiting ecosystem-specific cascading risks.

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