Reachfast.ai — agentic threat model
Reachfast.ai is a data-intensive contact lookup agent with low agentic autonomy but high data privacy risks due to its handling of a 385M+ professional contact database and user-uploaded CSVs.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| 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 LLMs for parsing unstructured profile data or matching, but specific models are not disclosed. Threats include prompt injection via malicious LinkedIn profile data.
Not certain from the listing — relies on a massive database of 385M+ professionals. Threats include data poisoning of the contact database, unauthorized data exfiltration, and privacy/GDPR compliance issues regarding scraped PII.
Not certain from the listing — likely uses a simple orchestration framework to ingest CSVs, extract URLs, and trigger lookup tools. Threats include insecure CSV parsing (e.g., CSV injection) and insecure tool calling for database lookups.
Not certain from the listing — hosted web application. Threats include container compromise, exposure of database credentials, and lack of sandboxing during CSV processing.
Not certain from the listing — no details on logging or guardrails. Gaps could lead to undetected data scraping abuse or prompt injection attacks.
Not certain from the listing — handles massive amounts of PII (emails, phone numbers) which raises significant GDPR/CCPA compliance risks. No explicit security certifications (SOC2, etc.) are mentioned.
Not certain from the listing — operates as a standalone SaaS/open-source tool, with no active multi-agent ecosystem or marketplace interactions described.
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.