AdsLibrary — agentic threat model
AdsLibrary is a low-autonomy utility tool focused on saving and sharing social media ad creatives. Its primary security risks lie in data privacy, secure team sharing, and potential session or credential exposure if implemented as a browser extension.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.10 | |
| Opacity & Reflexivity | 0.10 |
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 description does not explicitly mention LLM usage; if models are used for ad analysis, categorization, or copywriting, they face standard risks of prompt injection or misaligned outputs.
The agent saves and manages ad assets from TikTok, IG, and FB. Key threats include data exfiltration of curated ad libraries, unauthorized access to shared team folders, and potential intellectual property leakage of unreleased ad creatives.
Not certain from the listing — No agentic orchestration framework is described. If an orchestration layer exists to coordinate scraping and grouping, vulnerabilities could lead to insecure tool execution or API abuse.
Not certain from the listing — The deployment architecture (browser extension vs. cloud SaaS) is unspecified, but infrastructure risks include insecure storage of scraped assets and session hijacking if browser tokens are used.
Not certain from the listing — No monitoring, guardrails, or evaluation mechanisms are mentioned for validating scraped content or user inputs.
Not certain from the listing — No compliance certifications (e.g., SOC2) or identity/access management controls are detailed for the team sharing features.
Not certain from the listing — No multi-agent interactions or marketplace integrations are described; risks are limited to standard web-based team sharing.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).