New multilingual severity classifiers for vulnerability analysis

🚀 We’ve just published a new article introducing a Russian-language severity classifier, along with improved English and Chinese models for vulnerability descriptions.

👉 https://www.vulnerability-lookup.org/2026/04/06/russian-severity-classifier/

These models are trained with VulnTrain and served via ML-Gateway, and are fully integrated into Vulnerability-Lookup.

🔍 What’s new

• 🇷🇺 Russian severity classifier based on FSTEC (BDU) data, using a ruRoBERTa-large model
• 🇬🇧 Improved English model trained on diverse sources (CVE, GitHub, PySec, CSAF…)
• 🇨🇳 Improved Chinese model leveraging CNVD data
• 📊 Better training insights with per-class precision / recall / F1 metrics
• 🧩 Multi-source datasets with traceable origins and dynamic dataset cards

All datasets and models are openly available on Hugging Face.

⚙️ Under the hood

• VulnTrain 3.1.0 adds FSTEC support, dataset traceability, and improved model selection
• ML-Gateway 0.5.0 now supports multilingual severity classification out of the box

This work is part of the AIPITCH project, supporting practical AI integration in cybersecurity workflows.