Online Privacy Exposure Score Calculator

Estimate your online privacy exposure score (0–100) based on your social media usage, data sharing habits, security practices, and digital footprint. A higher score means greater exposure risk.

Your score will appear here.

Formula

Each factor is normalized to its maximum contribution and summed to produce a score from 0 to 100:

Score = Σ (factor_value / factor_max) × factor_weight

Factor weights (max points):

  • Social media platforms: min(n/15, 1) × 10
  • Profile public visibility: (value/2) × 8
  • Real name online: (value/2) × 6
  • Location sharing: (value/3) × 9
  • Data breaches: min(n/5, 1) × 10
  • Password reuse: (value/3) × 10
  • Lack of 2FA: (value/3) × 8
  • No VPN usage: (value/3) × 7
  • Third-party app access: min(n/20, 1) × 8
  • Public email exposure: (value/2) × 6
  • Shopping accounts: min(n/15, 1) × 5
  • Browser tracking acceptance: (value/3) × 7
  • Smart/IoT devices: min(n/10, 1) × 5
  • Public Wi-Fi usage: (value/3) × 6
  • Total maximum = 100 points

Risk tiers: Very Low (0–19), Low (20–39), Moderate (40–59), High (60–79), Very High (80–100).

Assumptions & References

  • Weights are derived from relative risk significance reported in privacy research (ENISA, NIST SP 800-188, Pew Research Center digital privacy studies).
  • Password reuse and lack of 2FA are weighted highest among security practices, consistent with Verizon DBIR findings that credential compromise drives the majority of breaches.
  • Data breach exposure is capped at 5 breaches for scoring purposes; beyond 5, marginal additional risk is assumed to plateau.
  • Third-party app access is capped at 20 apps; each app represents a potential OAuth token and data-sharing agreement.
  • Smart/IoT device risk is capped at 10 devices, reflecting typical household exposure (IoT Analytics, 2023).
  • VPN and 2FA are protective factors — higher usage reduces the score (inverse scoring).
  • This calculator provides an indicative score for educational purposes and does not constitute a professional security audit.
  • References: NIST Cybersecurity Framework, ENISA Threat Landscape 2023, Pew Research "Americans and Privacy" (2019), Verizon DBIR 2023, EFF Surveillance Self-Defense guide.

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