Assess blacklist exposure, DNS hygiene, sender trust signals. Compare indicators across authentication, hosting, and content. Export results, visualize trends, and apply practical remediation steps.
| Domain | Spamhaus | SURBL | SPF | DKIM | DMARC | Domain Age | Risk Score | Risk Level |
|---|---|---|---|---|---|---|---|---|
| example.com | 0 | 0 | Pass | Pass | Pass | 1450 | 14.60 | Low |
| promo-mailer.net | 1 | 1 | Softfail | Partial | Monitor | 120 | 54.80 | Moderate |
| alert-secure-login.org | 2 | 1 | Fail | Missing | Missing | 18 | 86.20 | Critical |
This calculator uses a weighted risk model. Each input group becomes a component score from 0 to 100. Higher values indicate more blacklist exposure or weaker operational posture.
Weighted Risk Score = (Blacklist Signals × 0.30) + (Authentication × 0.15) + (Reputation × 0.18) + (Domain Age × 0.08) + (Traffic Patterns × 0.10) + (Content Risk × 0.11) + (Infrastructure × 0.08)
Trust Score = 100 − Weighted Risk Score
Estimated Deliverability = 100 − (Risk Score × 0.65) − (Bounce Rate × 0.35) − (Complaint Rate × 8) − Malware Penalty
Major blacklist hits receive stronger penalties. Missing SPF, DKIM, or DMARC increases the authentication component. New domains, poor SSL posture, high complaints, suspicious content, and malware associations also raise risk.
Domain blacklist monitoring helps security, marketing, and deliverability teams measure trust erosion before damage spreads. A listed domain can face blocked mail, browser warnings, reduced engagement, and brand harm.
A strong review does not rely on blacklist counts alone. It also considers sender authentication, domain age, SSL posture, hosted content, open redirects, complaint trends, and the reputation of related infrastructure.
Some issues carry more operational impact than others. A Spamhaus listing, malware flag, or repeated complaint surge usually deserves more attention than a single weak hosting clue. Weighted scoring gives those factors stronger influence.
Analysts can use this page during domain onboarding, campaign reviews, abuse investigations, phishing triage, and vendor checks. It also supports quick internal reporting because the result includes notes, charting, and export options.
Low-risk results usually combine zero blacklist hits, healthy SPF, DKIM, and DMARC records, valid SSL, low complaints, older domain age, and clean content patterns. Better hygiene often improves trust and protects deliverability.
Start with root causes. Remove malicious content, fix authentication, tighten redirect logic, clean email lists, review sending sources, and request delisting only after evidence supports remediation. Recheck the domain after each change.
It estimates blacklist-related domain risk using blacklist counts, sender authentication, infrastructure posture, content indicators, reputation signals, and traffic quality metrics.
Not always. A single hit matters, but final severity depends on supporting issues like authentication failures, malware flags, complaint spikes, or risky content patterns.
These records help prove mail legitimacy. Weak or missing records can increase spoofing risk, reduce trust, and make blacklist recovery harder.
Yes. New domains often face stricter filtering. If they also show weak authentication, suspicious content, or rapid mail growth, risk rises quickly.
It helps indirectly. Valid SSL supports credibility and operational hygiene, while expired or missing certificates can increase suspicion during broader risk review.
Lower is better. Very low complaint rates usually support healthier sender reputation, while repeated complaints often signal poor consent, irrelevant targeting, or abuse.
No. This tool is a scoring model. It helps evaluate overall posture, but live DNSBL and reputation checks are still needed for production decisions.
Recheck after authentication changes, cleanup actions, delisting requests, mail system updates, content fixes, or any major incident affecting domain trust.
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.