Domain Spoofing Test Calculator

Measure spoofing likelihood with checks and similarity signals. Infrastructure indicators expose weak trust before abuse. Reduce impersonation surprises before attackers exploit weak trust gaps.

Enter Assessment Signals

Domain or brand

Similarity score (0 to 100)

Domain age in days

SPF status

DKIM status

DMARC policy

MX alignment

TLS or certificate status

Punycode or homoglyph signal

Display-name abuse risk

WHOIS visibility

Brand monitoring maturity

Known typo variants

Example Data Table

Domain	Similarity	DMARC	Punycode	Age Days	Typo Variants	Expected Risk View
payrnents-alert.com	94	None	Yes	12	6	Critical
secure-example-mail.com	72	Quarantine	No	120	3	High
portal.example.com	18	Reject	No	1400	0	Low

Formula Used

Main formula:

Risk Score = (Similarity × 0.25) + SPF Gap + DKIM Gap + DMARC Gap + MX Gap + TLS Gap + Punycode Signal + Display-Name Exposure + Age Signal + Privacy Signal + Typo-Variant Pressure + Monitoring Gap

Interpretation guide:

Similarity contributes up to 25 points.
Weak email authentication raises the score quickly.
Punycode, young age, privacy, and many typo variants add pressure.
Protection score is a weighted control score from 0 to 100.

How to Use This Calculator

Enter the domain or brand being reviewed.
Estimate visual similarity using your internal review process.
Select SPF, DKIM, and DMARC control strength.
Record routing, certificate, age, and typo-variant details.
Run the test and review the score, drivers, and actions.
Export the result to CSV or PDF for reporting.

Frequently Asked Questions

1. What does this calculator measure?

It estimates spoofing exposure by combining visual similarity, email authentication strength, domain age, certificate trust, typo pressure, and monitoring maturity into a weighted risk score.

2. Does this tool perform live DNS lookups?

No. This version is an assessment calculator. It scores the signals you enter, making it useful for audits, tabletop exercises, supplier reviews, and training workflows.

3. What score should be considered dangerous?

Scores above 75 suggest immediate action. Values from 50 to 74 need urgent remediation. Lower ranges still deserve monitoring if the brand is frequently targeted.

4. Why does similarity have such a large weight?

Lookalike appearance strongly influences user confusion. Even when technical controls exist, high visual similarity can still drive clicks, trust, and brand impersonation success.

5. How should I estimate similarity?

Use your approved review method. Teams often compare string distance, keyboard substitutions, homoglyph characters, brand terms, and visual impressions from email addresses or domains.

6. Why do new domains score higher risk?

Fresh registrations are commonly used in short campaigns. Limited history gives defenders less trust evidence, so the model adds extra weight to recently created domains.

7. Can I use this for vendor onboarding?

Yes. It works well for screening new suppliers, payment instruction changes, marketing senders, and third-party portals where spoofing or impersonation risk matters.

8. What does the protection score tell me?

It summarizes the strength of SPF, DKIM, DMARC, MX alignment, certificate trust, and monitoring maturity. Higher protection reduces the chance that spoofing attempts will succeed.