Network Vulnerability Exposure Calculator
ANA›Life Services Authority›National Calculator Authority›Network Vulnerability Exposure Calculator
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Network Vulnerability Exposure Calculator
Quantifies your network's vulnerability exposure by combining asset value, threat likelihood, vulnerability severity (CVSS-based), and control effectiveness into a single actionable risk score.
Asset Value (1–10)
Relative importance of the asset to the organization.
Threat Likelihood (0–1)
Probability that a threat actor will attempt to exploit the vulnerability.
CVSS Base Score (0–10)
Common Vulnerability Scoring System base score for the vulnerability.
Control Effectiveness (0–1)
Effectiveness of existing security controls (patches, WAF, IDS, segmentation, etc.).
Exposure Window (days)
Number of days the vulnerability has been unpatched / exposed.
Calculate Exposure
function netCalc() { // --- Read inputs --- var assetValue = parseFloat(document.getElementById('net-asset-value').value); var threatLikelihood = parseFloat(document.getElementById('net-threat-likelihood').value); var cvssScore = parseFloat(document.getElementById('net-cvss-score').value); var controlEffect = parseFloat(document.getElementById('net-control-effectiveness').value); var exposureWindow = parseFloat(document.getElementById('net-exposure-window').value);
// --- Validation --- var errors = []; if (isNaN(assetValue) || assetValue 10) errors.push("Asset Value must be between 1 and 10."); if (isNaN(threatLikelihood) || threatLikelihood 1) errors.push("Threat Likelihood must be between 0 and 1."); if (isNaN(cvssScore) || cvssScore 10) errors.push("CVSS Base Score must be between 0 and 10."); if (isNaN(controlEffect) || controlEffect 1) errors.push("Control Effectiveness must be between 0 and 1."); if (isNaN(exposureWindow) || exposureWindow 3650) errors.push("Exposure Window must be between 1 and 3650 days.");
var resultDiv = document.getElementById('net-result'); if (errors.length > 0) { resultDiv.style.display = 'block'; document.getElementById('net-score-display').innerHTML = '⚠ Please fix the following errors:
' + errors.map(function(e){ return ''; }).join('') + ''; document.getElementById('net-rating-display').innerHTML = ''; document.getElementById('net-breakdown-display').innerHTML = ''; return; }
// --- Core Formula --- // Normalized CVSS: cvss_norm = CVSS / 10 → [0, 1] var cvssNorm = cvssScore / 10.0;
// Residual Vulnerability = CVSS_norm × (1 − Control_Effectiveness) var residualVuln = cvssNorm * (1.0 - controlEffect);
// Temporal factor: logarithmic growth, capped at 1 // temporal = ln(exposureWindow + 1) / ln(366) → ~1 at one year var temporalFactor = Math.log(exposureWindow + 1) / Math.log(366); temporalFactor = Math.min(temporalFactor, 1.0);
// Raw NVE (0–10 scale): // NVE = Asset_Value × Threat_Likelihood × Residual_Vulnerability × (1 + Temporal_Factor) // Max possible raw = 10 × 1 × 1 × 2 = 20 → normalize to 0–10 var nveRaw = assetValue * threatLikelihood * residualVuln * (1.0 + temporalFactor); var nveScore = (nveRaw / 20.0) * 10.0; nveScore = Math.min(Math.max(nveScore, 0), 10);
// --- Risk Rating --- var rating, ratingColor, advice; if (nveScore ' + '' + nveScore.toFixed(2) + '' + ' / 10' + '';
document.getElementById('net-rating-display').innerHTML = '' + '' + rating + ' Exposure' + '' + advice + '
' + '';
document.getElementById('net-breakdown-display').innerHTML = '' + '' + 'Component' + 'Value' + '' + 'Asset Value' + '' + assetValue.toFixed(1) + ' / 10' + 'Threat Likelihood' + '' + (threatLikelihood * 100).toFixed(1) + '%' + 'CVSS Base Score' + '' + cvssScore.toFixed(1) + ' / 10' + 'Control Effectiveness' + '' + (controlEffect * 100).toFixed(1) + '%' + 'Residual Vulnerability (CVSS × (1−CE))' + '' + residualVuln.toFixed(4) + '' + 'Temporal Factor (log-scaled)' + '' + temporalFactor.toFixed(4) + '' + 'Raw NVE (pre-normalization)' + '' + nveRaw.toFixed(4) + '' + 'NVE Score (0–10)' + '' + nveScore.toFixed(2) + '' + ''; }
#### Formula
Step 1 – Normalize CVSS: CVSS_norm = CVSS_Base_Score / 10
Step 2 – Residual Vulnerability: RV = CVSS_norm × (1 − Control_Effectiveness) Represents how much of the raw vulnerability survives after controls are applied.
Step 3 – Temporal Factor (logarithmic): TF = ln(Exposure_Window_days + 1) / ln(366), capped at 1 Models diminishing marginal risk increase over time; reaches ~1 at one year.
Step 4 – Raw NVE: NVE_raw = Asset_Value × Threat_Likelihood × RV × (1 + TF)
Step 5 – Normalize to 0–10 scale: NVE = (NVE_raw / 20) × 10 Maximum theoretical raw value = 10 × 1 × 1 × 2 = 20.
Risk Bands: Minimal < 2 | Low 2–4 | Moderate 4–6 | High 6–8 | Critical ≥ 8
#### Assumptions & References
- CVSS Base Scores are sourced from the NIST National Vulnerability Database (NVD) or your internal scanner (Nessus, Qualys, OpenVAS).
- Threat Likelihood should be estimated using threat-intelligence feeds, historical incident data, or the MITRE ATT&CK framework.
- This model is aligned with NIST Cybersecurity Framework risk assessment guidance (SP 800-30 Rev. 1).
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