passiveCraft — agentic threat model
passiveCraft is a low-risk, single-purpose content generation tool with minimal autonomy. Its primary security risks are indirect prompt injection via scraped social media profiles and potential SSRF through the profile link input.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| 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.
Not certain from the listing — likely uses a standard commercial LLM (such as GPT-4o) for content analysis and idea generation. The primary threat is indirect prompt injection, where malicious instructions embedded in a public social media bio or post hijack the model's generation logic.
Not certain from the listing — relies on real-time fetching or scraping of public Instagram, TikTok, or YouTube profiles. Threats include data poisoning of the input profile data and potential IP blocking or rate-limiting by social media platforms.
Not certain from the listing — likely uses a simple sequential chain (fetch profile -> analyze -> generate ideas) rather than a complex agentic framework. The main threat is insecure integration with the profile-fetching tool.
Not certain from the listing — hosted as a web application. The input field for profile links presents a risk of Server-Side Request Forgery (SSRF) if the backend attempts to fetch URLs without strict domain validation.
Not certain from the listing — no mention of output guardrails or monitoring. There is a risk of generating inappropriate, offensive, or copyrighted product ideas if the LLM's outputs are not filtered.
Not certain from the listing — closed-source, free tool with no explicit authentication, privacy policies, or compliance certifications mentioned.
Not certain from the listing — operates as a standalone vertical tool with no multi-agent coordination or ecosystem integrations described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).