Next CVE Forecast

Search any technology to discover when its next vulnerability is likely to be published — before it hits the NVD. Powered by historical CVE data and ARIMA time-series forecasting.

Predict When the Next Vulnerability Will Surface

Search any technology to see when its next CVE is likely to be published. Each forecast report estimates the disclosure window, expected severity, and risk score — built from historical vulnerability trends, release cadence, and CVSS data from the NIST National Vulnerability Database.

Security teams use these predictions to prioritize patching, plan maintenance windows, and stay ahead of emerging threats before they become active exploits in the wild.

Read methodology whitepaper

Prediction Window

±7 days margin

We anticipate the upcoming disclosure to occur within the specified timeframe. The error margin indicates our confidence in the model and the recency of the data.

9.8/ 10

Critical

Next predicted CVE for

sample product

03/09/2026

27/08/2026 — 10/09/2026

What You Get for Every Technology

Select any vendor-product pair to open a detailed forecast report with timing, severity, and historical context.

Prediction Window

See the most likely date range for the next CVE disclosure, with a confidence margin derived from the model.

Severity Forecast

Get an estimated CVSS base score and risk rating so you can gauge impact before the CVE is even published.

CVE History & Timeline

Explore the full vulnerability history for any vendor-product pair — scores, dates, and publication patterns.

Nightly Model Updates

Forecasts are recalculated every night using the latest NVD data, keeping predictions current as new CVEs land.

How the Forecast Works

The model runs nightly over all vendor-product pairs that have received new CVEs since the last run. Each step below is fully automated.

Step 1

NVD Data Ingestion

All CVE records and CVSS scores are sourced from the NIST National Vulnerability Database (NVD) and kept in sync daily.

Step 2

ARIMA Forecasting

An ARIMA(2,1,0) time-series model runs over each vendor-product's historical CVE publication rate to predict when the next vulnerability is likely to surface.

Step 3

Risk Score

Risk is calculated as forecasted base score × exponential decay. Products with longer CVE cadences naturally decay toward lower risk over time.

Step 4

Prediction Window

The bell curve shows the most likely disclosure date (peak) with ±1 standard deviation bounds. Wider windows = lower model confidence for that product.

About data freshness

Predictions are recalculated nightly. A vendor-product must have at least 10 CVEs and at least one published in the last 3 years to qualify for forecasting — sparse or inactive products are excluded to keep confidence levels meaningful.

Monitor your stack's CVE risk automatically

S4E detects the technologies running on your assets and surfaces their vulnerability forecasts — no manual searches required.