Phishing Risk Score Calculator

Calculate organizational phishing risk score from training coverage, click rates, MFA adoption, and exposure. Score 0-100 with risk level.

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Risk Score
34.0
/ 100 — Medium
Risk Level
Medium

Score Breakdown

Training Gap
10 / 25
Click Rate
4.5 / 30
MFA Gap
7.5 / 25
Exposure
12 / 20
Planning notes, formulas, and examples

About the Phishing Risk Score Calculator

Phishing remains the most common initial attack vector, responsible for over 80% of security incidents. An organization's phishing risk depends on multiple factors: how well employees are trained to recognize phishing, the actual click rate on simulated phishing emails, MFA coverage (which limits damage even when credentials are phished), and overall exposure level based on company size and industry.

This calculator produces a phishing risk score from 0 (lowest risk) to 100 (highest risk) by combining these four factors. It weights each factor based on its relative impact and provides a clear risk classification (Low, Medium, High, Critical). Use it to benchmark your organization's phishing resilience, track improvement over time, and prioritize security awareness investments.

When This Page Helps

Phishing simulations produce raw click rates, but a click rate alone doesn't tell the full story. This calculator combines click rates with compensating controls (training, MFA) and exposure factors to produce a holistic risk score that's more meaningful for decision-making.

How to Use the Inputs

  1. Enter the security awareness training coverage (% of employees trained).
  2. Enter the average phishing simulation click rate.
  3. Enter the MFA adoption rate across the organization.
  4. Rate the exposure level (1=Low, 5=High) based on industry and public profile.
  5. Review the composite risk score and classification.
  6. Track the score over time to measure improvement.
Formula used
Risk Score = (1 − Training%) × 25 + Click Rate% × 30 + (1 − MFA%) × 25 + (Exposure/5) × 20. Clamped to 0–100. Low: 0–25, Medium: 26–50, High: 51–75, Critical: 76–100.

Example Calculation

Result: Risk Score: 39 — Medium

Training gap (40%) contributes 10 points, a 15% click rate contributes 4.5 points, MFA gap (30%) contributes 7.5 points, and moderate exposure (3/5) contributes 12 points, totaling 34 (Medium risk). Increasing training to 90% and MFA to 95% would drop the score to ~20 (Low).

Tips & Best Practices

  • Run phishing simulations at least quarterly to track click rate trends.
  • Focus training on departments with the highest click rates.
  • Use graduated difficulty in phishing simulations to build employee confidence.
  • Deploy MFA as a safety net — even trained employees can be fooled by sophisticated attacks.
  • Report phishing capability is as important as recognition — measure report rates too.
  • Customize phishing simulations to match real threats targeting your industry.

Components of Phishing Risk

Phishing risk is a function of human factors (awareness, behavior), technical controls (email filtering, MFA), and environmental factors (industry, public exposure). Reducing risk requires addressing all three areas simultaneously.

Measuring Progress

Track these metrics monthly: simulation click rate, report rate (employees who report phishing), training completion rate, and MFA adoption. A dropping click rate with a rising report rate indicates genuine security culture improvement.

Beyond Click Rates

Click rate measures only one dimension. Also measure: credential submission rate (how many clicked AND entered passwords), report rate, time to report, and department-level variance. These provide a richer picture of organizational resilience.

Building a Security Culture

The goal is not zero clicks — it's a culture where employees feel comfortable reporting suspicious emails without fear. Organizations with strong reporting cultures detect real phishing attacks within minutes, dramatically reducing the window for attacker lateral movement.

Sources & Methodology

Last updated:

Frequently Asked Questions

  • Industry average is 10–15% for untrained organizations. With regular training and simulations, organizations can reduce click rates to 2–5%. Elite security programs achieve under 2%. Any rate above 20% indicates significant vulnerability.