Calculator Inputs
Example Data Table
| Profile | Factor Type | Backup Handling | Recovery Strength | Prompt Fatigue/Year | Score | Band |
|---|---|---|---|---|---|---|
| Finance Admin | FIDO2 Key | Password manager | Admin-controlled | 0 | 91 | Strong |
| General Staff | TOTP App | Printed offline | Strict identity checks | 1 | 79 | Good |
| Legacy Account | SMS OTP | Plain text file | Knowledge-based fallback | 5 | 43 | Weak |
Formula Used
The calculator uses a weighted cybersecurity scoring model. Each control maps to a normalized score between 0 and 100. The final score is a weighted sum adjusted by penalties for operational weaknesses.
Core formula:
Final Score = (0.35 × FactorStrength) + (0.20 × Hygiene) + (0.20 × RecoveryStrength) + (0.15 × PhishingResilience) + (0.10 × SessionControls) − Penalties
- FactorStrength: Based on SMS, email OTP, TOTP, push, or FIDO2 key resistance.
- Hygiene: Backup code storage, device lock, and review cadence.
- RecoveryStrength: Recovery workflow strictness and rotation interval.
- PhishingResilience: Training recency and fatigue incidents.
- Penalties: Shared accounts, weak fallback, excessive enrolled methods, and SIM swap exposure.
Scores are advisory and help compare control maturity, not certify compliance.
How to Use This Calculator
- Select the main second-factor method used by the account or team.
- Choose how backup codes are stored and how the device is protected.
- Set recovery strength, review cadence, and phishing training status.
- Enter numeric values for enrolled methods, fatigue incidents, and rotation days.
- Click Calculate Strength to display the result above the form.
- Use Download CSV to export the current inputs and score.
- Use Download PDF to open a print-ready summary and save as PDF.
Authentication Control Maturity
Two-factor strength should be evaluated as a control system, not a single login prompt. This calculator separates factor quality, hygiene, recovery design, and phishing resilience to produce a score. Organizations often deploy a second factor but still allow support resets, shared access, or poorly stored backups. Those gaps create bypass opportunities. A weighted result helps teams compare deployment maturity across departments, roles, and systems using consistent criteria.
Factor Quality And Attack Resistance
Factor type receives the highest weight because attack resistance differs significantly. Hardware security keys and origin-bound methods reduce phishing success, relay attacks, and interception. Authenticator applications usually provide better protection than SMS or email codes, which depend on weaker delivery channels. The calculator maps each factor to a normalized value, then combines it with user behavior and environment settings. This approach prevents overrating a deployment because two-factor authentication is enabled.
Recovery Workflow And Backup Governance
Recovery controls often determine whether an attacker can bypass strong authentication. If support staff can reset access after weak verification, the effective protection level falls sharply. The calculator therefore scores recovery strength and backup code handling independently. It also considers backup rotation intervals, because old recovery material can remain exposed in outdated files or unmanaged storage. Teams improve scores by enforcing strict identity checks, offline backup storage, and recovery approvals.
User Behavior And Operational Hygiene
Human behavior influences outcomes as much as technology. Prompt fatigue approvals, neglected training, and shared accounts all reduce reliability. The calculator adds penalties for these patterns and rewards frequent security reviews, managed devices, and session controls. This scoring method makes the result useful for internal audits and policy tuning. Teams can measure baseline conditions, apply improvements, and compare scores over time without changing the evaluation framework.
Using Scores For Security Improvements
Use the final score as a prioritization signal rather than a compliance badge. Scores above eighty-five indicate strong design and operations, while midrange results usually show remediable weaknesses. Lower results often require migration away from SMS, stronger recovery verification, or tighter backup storage. Exported calculator results can support reviews, exception tracking, and leadership reporting for authentication risk reduction programs across accounts and business systems.
FAQs
1) What does this score measure most heavily?
It emphasizes factor quality first, then hygiene, recovery, phishing resilience, and session controls. Penalties reduce scores when deployment practices create bypass or misuse risk.
2) Is SMS always a bad second factor?
SMS is better than no second factor, but it is weaker against SIM swapping and phishing relay attacks. Higher-risk accounts should prefer TOTP or security keys.
3) Why are backup codes included in the calculation?
Backup codes are part of the recovery path. If stored unsafely, they can become a direct bypass method even when primary authentication settings look strong.
4) Can I use this for team-wide security comparisons?
Yes. The weighted model helps compare departments, privileged users, or systems using the same scoring logic, especially when exported results are reviewed regularly.
5) Does training really affect two-factor strength?
Yes. Prompt fatigue and phishing mistakes often defeat otherwise strong controls. Recent training improves user judgment during suspicious approval or code requests.
6) How often should scores be recalculated?
Recalculate after policy changes, factor migrations, incidents, or quarterly reviews. Regular scoring helps confirm improvements and identify drift in recovery and hygiene practices.