PentAGI — agentic threat model
PentAGI presents a high-risk profile due to its autonomous orchestration of powerful offensive security tools (Metasploit, sqlmap) and web browsing capabilities. While the use of a sandboxed Docker environment mitigates immediate host compromise risks, prompt injection or memory poisoning could redirect these destructive tools against unauthorized targets.
OWASP AIVSS score rationale
| Autonomy of Action | 0.90 | |
| Goal-Driven Planning | 0.90 | |
| Self-Modification | 0.40 | |
| Dynamic Tool Use | 0.95 | |
| Persistent Memory | 0.70 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.70 |
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 specific foundation models used are not disclosed. Threats include prompt injection leading to model reprogramming, which could cause the agent to execute unauthorized exploits or bypass safety alignment.
Not certain from the listing — Details regarding the underlying database or vector store for the 'smart memory system' are omitted. Threats include memory poisoning, where malicious data gathered during web intelligence phases corrupts the agent's long-term knowledge base.
The agent framework orchestrates highly sensitive tools (nmap, Metasploit, sqlmap). Threats include tool misuse and insecure tool integration, where input validation failures allow an attacker to hijack tool arguments and target arbitrary systems.
The system deploys tools inside a sandboxed Docker environment. Threats include container escape, host compromise, and lateral movement if the Docker container is run with excessive privileges or misconfigured network access.
Not certain from the listing — There is no mention of built-in guardrails, logging, or observability dashboards. Threats include blind spots where malicious or unintended scanning/exploitation occurs without administrative visibility.
Not certain from the listing — The listing does not detail authentication, authorization, or policy enforcement mechanisms. Threats include unauthorized local users accessing the tool to launch attacks, leading to severe compliance and legal violations.
Not certain from the listing — No multi-agent collaboration or ecosystem integrations are described. Threats are currently limited to single-agent execution, though future ecosystem integrations could introduce cascading trust issues.
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.