New multilingual severity classifiers for vulnerability analysis
๐ Weโve just published a new article introducing a Russian-language severity classifier, along with improved English and Chinese models for vulnerability descriptions.
๐ 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.
๐ Whatโs new
- ๐ท๐บ Russian severity classifier based on FSTEC (BDU) data, using a ruRoBERTa-large model
- ๐ฌ๐ง Improved English model trained on diverse sources (CVE, GitHub, PySec, CSAFโฆ)
- ๐จ๐ณ Improved Chinese model leveraging CNVD data
- ๐ Better training insights with per-class precision / recall / F1 metrics
- ๐งฉ Multi-source datasets with traceable origins and dynamic dataset cards
All datasets and models are openly available on Hugging Face.
โ๏ธ 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.
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