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Chatquick — agentic threat model

8.3AIVSS 8.3 · High

Chatquick poses a moderate-to-high risk profile due to its deployment as a Chrome extension with API access automating sensitive tasks like Finances and Accounting. The lack of explicit security controls combined with high-privilege browser access increases the potential impact of prompt injection and session hijacking.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.85Factor sum 3.4/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.40
Goal-Driven Planning
0.30
Self-Modification
0.10
Dynamic Tool Use
0.50
Persistent Memory
0.30
Contextual Awareness
0.50
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 — likely relies on third-party foundation models via API to process its 1M+ prompts. It is highly vulnerable to prompt injection, especially when processing untrusted web content via the Chrome plugin or voice inputs.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — processes user-provided prompts, voice inputs, and potentially active browser DOM data. This introduces risks of sensitive data exfiltration (e.g., financial or accounting data) if the data pipeline is compromised.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — orchestrates automation tasks using a large library of pre-defined prompts. Vulnerable to insecure tool integration if the Chrome extension executes arbitrary browser actions or API calls based on untrusted LLM outputs.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — deployed as a Chrome extension and an API. The extension model introduces client-side risks such as DOM-based XSS, local storage exposure of API keys, and potential privilege escalation within the user's browser session.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no mention of guardrails, input filtering, or output monitoring for the automated tasks. This creates significant blind spots when executing complex financial or sales automations.

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

Not certain from the listing — handles sensitive domains like Accounting, Finances, and Sales, but lacks visible compliance certifications (e.g., SOC2) or robust identity and access management controls.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — features 'team collaboration' which may involve shared workspaces or prompt libraries. This introduces risks of horizontal privilege escalation or malicious prompt sharing within a compromised organization.

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