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Side Space — agentic threat model

8.1AIVSS 8.1 · High

Side Space presents a moderate-to-high risk profile primarily driven by its deep contextual access to active browser tabs, making it highly vulnerable to indirect prompt injection and subsequent data exfiltration of sensitive user sessions.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.62Factor sum 2.5/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.30
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.20
Contextual Awareness
0.80
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
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 (e.g., OpenAI or Anthropic APIs) to perform summarization and synthesis. The primary threat is indirect prompt injection, where malicious instructions embedded in a web page being browsed hijack the model's behavior.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — likely stores extracted research data and user-organized information in local browser storage or a proprietary cloud database. Threats include unauthorized access to this stored research data and potential leakage of sensitive browsing history.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — uses a browser-extension-based orchestration framework to read tab content and trigger LLM calls. The main threat is insecure tool integration, where the agent's extraction tools are manipulated via web content to exfiltrate data to external endpoints.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — deployed as a browser extension side panel interacting with a cloud backend. Threats include extension-level privilege escalation, cross-site scripting (XSS) vulnerabilities within the side panel UI, and insecure API communication.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no monitoring or guardrail mechanisms are detailed. This creates a significant blind spot, making it difficult to detect if the agent is actively being manipulated by malicious web content to leak user data.

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

Not certain from the listing — no compliance certifications (such as SOC 2) or privacy-preserving controls are mentioned. Processing active browser content poses high compliance risks under GDPR/CCPA if sensitive personal data is transmitted or stored without explicit consent.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — operates as a standalone browser assistant with no multi-agent or marketplace interactions mentioned, meaning ecosystem-level threats are currently negligible.

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