GCS Cheats — agentic threat model
GCS Cheats is a traditional game modification tool rather than an AI agent, presenting severe host-level security risks due to its closed-source nature, potential kernel-level operations, and deliberate evasion of security controls.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.80 |
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 — GCS Cheats is described as traditional game cheat software (aimbot, ESP, RCS) and does not appear to utilize LLMs or foundation models.
Not certain from the listing — There is no indication of training data, RAG, vector stores, or data pipelines associated with this software.
Not certain from the listing — The software uses automated targeting (aimbot) and recoil control, but there is no evidence of an LLM-based agentic orchestration framework or planning/memory tools.
Not certain from the listing — The software runs locally on client machines to modify game memory/processes, posing high risks of host compromise or detection bypass, but specific infrastructure hosting details are absent.
Not certain from the listing — There are no mentioned AI evaluation, logging, or guardrail mechanisms, only stealth techniques to avoid anti-cheat detection.
Not certain from the listing — The software operates in a regulatory and policy gray area (violating game ToS), lacks standard compliance frameworks, and uses closed-source premium access controls.
Not certain from the listing — There is no multi-agent coordination or marketplace integration described for this software.
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.