Wondershare Recoverit — agentic threat model
Wondershare Recoverit presents a high-risk profile due to its deep, low-level access to raw storage systems, enterprise NAS, and RAID arrays. If compromised, its automated ML-driven recovery workflows could be weaponized for deep data exfiltration or destructive raw-disk manipulation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| 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 — uses proprietary machine learning and deep-learning algorithms for content recognition and video reassembly, but specific foundation models or LLMs are not detailed.
Not certain from the listing — processes raw storage data, disk images, and file headers. Risks include processing poisoned or malicious raw disk images designed to exploit parser vulnerabilities during deep scanning.
Not certain from the listing — orchestrates scanning, header analysis, and video reassembly. Vulnerabilities in the orchestration framework could allow arbitrary code execution via malformed file structures.
Not certain from the listing — likely runs locally or on-premise with high privileges (root/administrator) to access raw storage devices, SSDs, and NAS RAID arrays, presenting a high privilege escalation risk.
Not certain from the listing — no explicit mention of logging, guardrails, or drift detection for the ML-driven reconstruction process.
Not certain from the listing — mentions '20 years of data security expertise' but lacks specific compliance certifications (e.g., SOC2, ISO) or explicit access control mechanisms in the description.
Not certain from the listing — operates as a standalone vertical tool with no indicated multi-agent or marketplace integrations.
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.