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BookMyFlight — agentic threat model

8.3AIVSS 8.3 · High

BookMyFlight.ai presents a moderate-to-high risk profile due to its integration with transactional booking systems and handling of sensitive traveler PII and payment details, though it likely operates with a human-in-the-loop for final financial transactions.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.8Factor sum 3.2/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.50
Goal-Driven Planning
0.40
Self-Modification
0.00
Dynamic Tool Use
0.60
Persistent Memory
0.30
Contextual Awareness
0.40
Dynamic Identity
0.20
Multi-Agent Interactions
0.10
Non-Determinism
0.40
Opacity & Reflexivity
0.30

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 underlying foundation models are unspecified. Adversarial prompt injection could manipulate the agent into retrieving incorrect flight options or bypassing booking constraints.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The data operations layer likely caches user search history, preferences, and PII. Lack of secure data handling could lead to data exfiltration or unauthorized access to traveler profiles.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework must securely translate natural language into structured API calls for flight search and booking. Insecure tool integration could lead to unauthorized API execution or parameter tampering.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Deployment details are absent. The infrastructure must securely store and manage sensitive API keys for Global Distribution Systems (GDS), airline APIs, and payment gateways.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — Observability mechanisms are not described. Real-time monitoring is critical to detect anomalous booking patterns, API failures, or prompt injection attempts targeting the booking flow.

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

Not certain from the listing — Compliance certifications (such as PCI-DSS for payment processing or GDPR for traveler PII) are not mentioned, representing a significant compliance risk if not properly implemented.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The agent appears to operate standalone, but potential future integrations with airline or hotel multi-agent ecosystems could introduce cascading trust and transaction risks.

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