Stockimg.ai — agentic threat model
Stockimg.ai presents a moderate-to-high risk profile primarily due to its write-access integration with multiple social media platforms, where compromised credentials or prompt injections could lead to automated, brand-damaging content dissemination.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.50 |
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 utilizes third-party text and image generation models (e.g., Stable Diffusion, GPT-4). Primary threats include prompt injection leading to the generation of offensive, copyrighted, or brand-damaging media, and model alignment failures.
Not certain from the listing — processes user-uploaded brand assets, historical social media data, and generated media. Threats include unauthorized access to proprietary marketing assets and potential data leakage of unreleased campaign materials.
Not certain from the listing — orchestrates the generation, scheduling, and posting workflow. Threats include insecure tool integration where the scheduling agent could be manipulated to post unauthorized content or bypass user approval queues.
Not certain from the listing — hosted as a closed-source SaaS platform. The most critical threat at this layer is the insecure storage of third-party social media OAuth tokens and API keys, which if compromised, grant direct access to client social accounts.
Not certain from the listing — requires robust content guardrails and output validation to prevent automated posting of toxic or hallucinated content. Gaps in observability could allow silent failures in automated posting schedules.
Not certain from the listing — requires strict multi-tenant isolation and role-based access control (RBAC) for team accounts. Compliance risks include violating social media platform terms of service regarding automated spam or coordinated inauthentic behavior.
Not certain from the listing — interacts directly with external social media platform APIs (e.g., Meta, X, LinkedIn). Threats include API deprecations, rate-limiting denial of service, and cascading failures if downstream platform APIs reject automated payloads.
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.