CVE Forecasting Dashboard

Advanced machine learning models predict future CVE publication trends, helping security teams anticipate vulnerability landscapes and plan resources effectively.

📈 CVE Publication Forecast

Predicted CVE counts for the next 12 months using time series analysis

🎯 Model Performance

Accuracy metrics for different forecasting models

📊 Trend Analysis

Seasonal patterns and growth trends in CVE publications

🤖 Forecasting Models

📈 Time Series Models
  • • ARIMA: Autoregressive Integrated Moving Average
  • • SARIMA: Seasonal ARIMA for trend analysis
  • • Prophet: Facebook's forecasting algorithm
🧠 Machine Learning
  • • LSTM: Long Short-Term Memory neural networks
  • • XGBoost: Gradient boosting for feature importance
  • • Random Forest: Ensemble learning approach