Unbrowse — agentic threat model
Unbrowse presents an extremely high-risk profile due to its core mechanism of sharing active browser cookies via an extension to authenticate AI agents on arbitrary websites, combined with direct Solana USDC financial integration. A compromise of this agent could lead to widespread session hijacking, unauthorized financial transactions, and automated abuse of authenticated user accounts.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.90 | |
| Multi-Agent Interactions | 0.70 | |
| 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.
Not certain from the listing — The listing does not specify the underlying foundation models used to drive the network-level interactions or parse web pages.
Not certain from the listing — While Unbrowse facilitates web data access, the listing does not detail how retrieved data is stored, vectorized, or protected against poisoning and exfiltration.
Unbrowse acts as an 'Internet-Use layer' for autonomous agents. The primary threat is tool misuse, where malicious or hijacked prompts could force the agent to perform unauthorized actions (e.g., deleting accounts, posting spam) on authenticated websites using the shared cookies.
The deployment relies on a browser extension for cookie sharing. This introduces severe infrastructure risks, including local cookie theft, extension-level compromise, and the potential for lateral movement if the proxy servers handling the network requests are breached.
Not certain from the listing — There is no mention of logging, auditing, or real-time guardrails to monitor what actions the agent is performing on behalf of the authenticated user.
The core feature of sharing active session cookies bypasses traditional OAuth/API authorization boundaries, creating massive identity and compliance risks. There are no indicated controls for limiting the scope of cookie access or enforcing least-privilege principles.
Unbrowse is designed to empower other AI agents and integrates with x402 for Solana USDC monetization. This creates a highly vulnerable ecosystem where compromised third-party agents could abuse Unbrowse to drain financial wallets or cascade malicious actions across multiple authenticated platforms.
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.