Personal Details
Scanning for fingerprints…
Inside the MCP Layer
Rain SDK analyzes agent identity, tool call patterns, and intent regardless of whether the agent is known or trusted.
AI Agents
Connecting via MCP
MCP Server
shield Rain SDKYour Platform
Tools & resources
researcher-01
Legitimate agent
→fetch
url="https://api.example.com/v1/models"
opus-agent-4k
Malicious agent
→read_file
db.json" · 200× write burst
assistant-v2
Legitimate agent
→list_directory
path="/" · outside declared scope
claude-operator
Malicious agent
→run_code
permission scope mismatch
Fraud Changes Quickly
Bad actors have evolved. AI-agents now enable fraud at unprecedented scale and speed.
Legacy Fraud
- Manual operations: Limited scale and capacity
- Predictable patterns: Easy to detect and adapt to
- Slow response: Hours or days between attacks
- Static detection: Rules-based systems worked
AI-Agent Fraud
- trending_up Autonomous at scale: Thousands of attacks simultaneously
- trending_up Adaptive behavior: Learns and evolves
- trending_up Continuous operation: 24/7 automated attacks
- trending_up Requires live defense: Static rules fail instantly
What We're Tracking
Malicious agents and models from darkweb and underground sources
Autonomous • Headless
For Sale: Malicious agent + model
Features:
- check_circle Pre-trained model weights + inference API
- check_circle Headless browser agent, evades fingerprinting
- check_circle Form-fill, CAPTCHA bypass, session hijack
- check_circle Multi-model ensemble (scraping + fraud)
- check_circle Updates for new detection bypass
Stock: 1,247 agents / 89 models • Seller: ████████ (4.9★)
From Product to Pipeline
Malicious agents and models become inputs into an automated pipeline
Malicious Agent
Agents and models from underground markets become raw material for automated exploitation.
Automated Pipeline
Tests what works across platforms and replicates successful patterns at massive scale.
Scaled Fraud
Successful patterns replicate across thousands of purchased accounts in minutes.
Personal Details
Scanning for fingerprints…
Inside the MCP Layer
Rain SDK analyzes agent identity, tool call patterns, and intent regardless of whether the agent is known or trusted.
AI Agents
Connecting via MCP
MCP Server
shield Rain SDKYour Platform
Tools & resources
researcher-01
Legitimate agent
→fetch
url="https://api.example.com/v1/models"
opus-agent-4k
Malicious agent
→read_file
db.json" · 200× write burst
assistant-v2
Legitimate agent
→list_directory
path="/" · outside declared scope
claude-operator
Malicious agent
→run_code
permission scope mismatch
Fraud Changes Quickly
Bad actors have evolved. AI-agents now enable fraud at unprecedented scale and speed.
Legacy Fraud
- Manual operations: Limited scale and capacity
- Predictable patterns: Easy to detect and adapt to
- Slow response: Hours or days between attacks
- Static detection: Rules-based systems worked
AI-Agent Fraud
- trending_up Autonomous at scale: Thousands of attacks simultaneously
- trending_up Adaptive behavior: Learns and evolves
- trending_up Continuous operation: 24/7 automated attacks
- trending_up Requires live defense: Static rules fail instantly
What We're Tracking
Malicious agents and models from darkweb and underground sources
Autonomous • Headless
For Sale: Malicious agent + model
Features:
- check_circle Pre-trained model weights + inference API
- check_circle Headless browser agent, evades fingerprinting
- check_circle Form-fill, CAPTCHA bypass, session hijack
- check_circle Multi-model ensemble (scraping + fraud)
- check_circle Updates for new detection bypass
Stock: 1,247 agents / 89 models • Seller: ████████ (4.9★)
From Product to Pipeline
Malicious agents and models become inputs into an automated pipeline
Malicious Agent
Agents and models from underground markets become raw material for automated exploitation.
Automated Pipeline
Tests what works across platforms and replicates successful patterns at massive scale.
Scaled Fraud
Successful patterns replicate across thousands of purchased accounts in minutes.