ML Security Models
as a Service
Protect your applications with ML-powered threat detection. Scan URLs, emails, and files for phishing, malware, and more.
Why models2go?
High Accuracy
Production-grade ML models trained on millions of samples. XGBoost and ensemble methods for reliable predictions.
Threat Intelligence
ML predictions enriched with real-time threat feeds. 2.4M+ IOCs from DarkAPI and DNS Science integration.
Fast & Simple
Sub-100ms response times. Simple REST API or CLI. No ML expertise required.
Battle Tested
ART-tested for adversarial robustness. Continuous model monitoring and updates.
Easy Integration
Python SDK, CLI tool, and REST API. Integrate in minutes, not days.
Privacy First
No data retention. Your scans stay private. SOC2 compliant infrastructure.
Available Models
URL Phishing Detector
POST /api/v1/security/phishing/url
Detects phishing URLs using XGBoost + threat intel from DNS Science and DarkAPI.
Email Phishing Detector
POST /api/v1/security/phishing/email
Analyzes email content for phishing indicators using TF-IDF and hybrid models.
DGA Domain Detector
POST /api/v1/security/dga
Identifies algorithmically generated domains used by malware.
Network Intrusion Detector
POST /api/v1/security/intrusion
Detects network attacks from flow features. Binary and multiclass classification.
Malware Hash Lookup
POST /api/v1/security/hash
Check file hashes against 892K+ known malware samples.
IP Reputation
GET /api/v1/security/ip/{ip}
Lookup IP reputation from 156K+ malicious IP database.
Unified Threat Lookup
POST /api/v1/security/lookup
Auto-detect indicator type (IP, domain, URL, hash) and query all sources.
CVE Severity Predictor
POST /api/v1/security/cve
Predict CVE severity from vulnerability descriptions.
Simple Pricing
Start free, scale as you grow
Pro
- 100,000 API calls/month
- Priority processing
- Threat intel enrichment
- Email support
Enterprise
- Unlimited API calls
- Custom model training
- On-prem deployment
- SLA & dedicated support
Get Started in Seconds
Then run m2g scan url https://example.com