Your AI Infrastructure Is Exposed.
Running vLLM? Using GPU cloud? We discovered the first widespread attack campaign targeting AI inference endpoints. Thousands are exposed right now.
From the researchers who discovered CVE-2025-62164
The Blind Spot No One Is Talking About
AI Is Moving to Neo Cloud
Workloads are shifting to GPU-native providers like CoreWeave, Crusoe, Nebius — faster, cheaper, unprotected
No One Can See It
Traditional security tools don't monitor inference engines, model endpoints, or GPU orchestrators
Wide Open by Default
vLLM, TGI, and other inference servers often deploy with no auth, no monitoring, no protection
Already Being Exploited
We found the first attack campaign. This isn't theoretical — it's happening now
Neo Cloud is the future of AI compute. Right now, it's completely unprotected.
3,492 Exposed Endpoints. 18 Countries. This Week.
These aren't dev servers. These are production inference endpoints powering real AI products — with no authentication, no monitoring, no protection.
What's Running Unprotected
Enterprise Fine-Tuned Models
Custom models trained on proprietary data representing competitive IP
Domain-Specific Models
Specialized models for healthcare, finance, legal—containing industry-specific knowledge
Unreleased/Proprietary Architectures
Next-generation models not yet public
The Attack Is Simpler Than You Think
Attacker
Attacker identifies exposed AI endpoint
Vulnerable Inference Server
RCE on vLLM or similar framework
Full System Takeover
Model weights, training data, fine-tuning configs extracted
No credentials needed. Just one HTTP request.
Beyond CVE-2025-62164
CVE-2025-62164 was patched, but that's just one vulnerability. The real problem is that most companies don't even know they are exposed, and patching one CVE doesn't secure your AI infrastructure.
New vulnerabilities are discovered constantly. Without comprehensive model security, you're always one exploit away from catastrophic loss.
Find Out If You're Exposed
Free scan. No commitment. Know your risk.