Phishing Resistance Score Calculator

Score readiness using simulations, reporting habits, and controls. Tune weights, set targets, and export results. Use it to coach teams and reduce real risk.

Calculator Inputs
Enter values from 0 to 100 unless noted.

Completion rate for assigned awareness modules.
Overall score from recent phishing simulations.
Percent of suspicious messages reported.
Percent of users clicking simulation lures (lower is better).
Percent of accounts protected by multi-factor sign-in.
Percent of users using an approved manager.
Endpoint update compliance within your SLA.
Used to compute a recency score (freshness).
Accuracy from a short identification quiz.
Higher-risk roles apply a stricter multiplier.
Reset

Example Data Table

Team Member Training % Sim % Report % Click % MFA % Months PRS Category
Ayesha958472898184.8Strong
Bilal8068501888468.26Moderate
Hina7055422575756.39Moderate
Example values are illustrative for benchmarking discussions.

Formula Used

This tool converts each input into a 0-100 component score, applies weights, then adjusts for role exposure.

Base Score = Σ(Weightᵢ × Componentᵢ)
Final Score = clamp(Base Score × Role Multiplier, 0, 100)
Click Resistance = 100 − Click Rate
Recency Score = clamp(100 − 8 × Months Since Training, 0, 100)
  • Role Multiplier: Low 1.00, Medium 0.95, High 0.90
  • Weights emphasize behavior (simulations, clicks, reporting) and controls (multi-factor, patching).
  • Categories are mapped from the final score to support consistent reporting.

How to Use This Calculator

  1. Collect your latest simulation metrics: click rate, report rate, and simulation score.
  2. Add program signals: training completion and recognition quiz accuracy.
  3. Enter control coverage: multi-factor usage, password manager adoption, and patch compliance.
  4. Set Months since training to reflect recency of learning.
  5. Choose a role risk level to reflect exposure to targeted attacks.
  6. Click Calculate Score. Review drivers and priorities shown above the form.
  7. Export CSV or PDF to track improvements over time.

Baseline Metrics That Matter

Start with reliable measurement windows, 60–90 days. Track simulation click rate, report rate, and overall simulation score. These signals capture impulsive behavior, positive escalation, and pattern recognition. Mature programs segment results by department, tenure, and geography to expose hotspots. Use consistent lure difficulty so trends reflect learning rather than scenario design changes. Record false-report volume; rising reports with stable false positives indicates healthier vigilance.

Training Completion and Recency

Completion alone is not mastery, but it indicates coverage. Pair completion with months since last training to estimate knowledge decay. Micro-lessons delivered monthly often outperform annual long sessions because they reinforce cues like domain mismatch, unexpected attachments, and urgent payment requests. If recency is slipping, schedule short refreshers tied to active campaigns observed by your mail gateway. Many teams target 90%+ completion and keep median recency under three months for high-risk roles.

Control Coverage and Account Hardening

Behavior improves, yet attackers still succeed when controls are weak. Multi-factor usage, password manager adoption, and patch compliance reduce the impact of credential theft and drive-by malware. Aim for near-universal multi-factor on email and cloud apps, eliminate legacy authentication, and enforce password manager use for privileged and shared accounts. Patch compliance should align with defined SLAs for high-severity fixes. Maintain 95% compliance within 14 days for critical patches and measure exceptions.

Role Exposure and Targeting Pressure

Not all roles face equal targeting. Finance, executive support, HR, and IT administrators receive more spear-phishing and business email compromise attempts. The role risk multiplier applies stricter scoring for these teams, encouraging additional safeguards such as phishing-resistant authenticators, mailbox auditing, payment verification workflows, and executive simulation scenarios. Maintain separate baselines for high-risk groups to avoid masking needs inside company averages. Review vendor-facing inboxes and shared mailboxes, which often lack clear ownership.

Using the Score for Action Plans

A single number is useful only when it drives action. Review the weighted component table to identify the lowest contributors, then set two-week and quarterly goals. Examples include increasing reporting with a one-click button, reducing clicks through targeted simulations, and lifting multi-factor adoption via conditional access policies. Export CSV or PDF after each cycle to create an audit trail and show improvement to stakeholders. Tie actions to incident trends, such as credential pages or suspicious forwarding rules, to keep leadership engaged.

FAQs

1) What does the score represent?

It summarizes phishing resilience on a 0–100 scale using weighted behavior signals, training coverage, and control adoption, then adjusts for role exposure to reflect targeting pressure.

2) Why is click rate inverted?

Clicks indicate unsafe engagement. The calculator converts click rate into “click resistance” as 100 minus click rate, so higher values consistently mean stronger resistance across components.

3) How should we pick the role risk level?

Use low for general staff, medium for teams receiving frequent external email, and high for finance, HR, executives, admins, or anyone handling payments, credentials, or sensitive data.

4) Can we use this for departments or the whole company?

Yes. Enter metrics aggregated for a department, region, or the entire organization. Keep the same measurement window and simulation difficulty so comparisons remain meaningful over time.

5) What improvement is most effective first?

Start with the lowest weighted drivers shown in the results. Common quick wins are improving reporting workflows and reducing click-through via targeted simulations and rapid debriefs.

6) How often should we recalculate?

Most teams recalculate monthly or after each simulation campaign. Export results each cycle to document progress, validate interventions, and support audits or leadership reporting.

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Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.