🚀 We’ve just published a new article introducing a Russian-language severity classifier, along with improved English and Chinese models for vulnerability descriptions.
👉 vulnerability-lookup.org/…/russian-severity-class…
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.
New multilingual severity classifiers for vulnerability analysis
Submitted 2 weeks ago by cm0002@lemy.lol to cybersecurity@infosec.pub
https://www.vulnerability-lookup.org/2026/04/06/russian-severity-classifier/