Email Spam Score Checker
Understand exactly why an email gets flagged as spam. Gorganizer's engine scores every email across six modules — headers, sender reputation, subject, body, attachments, and structure — using the same 1,300+ signals that power Gmail inbox cleanup.
What Is an Email Spam Score?
A spam score is a numeric value assigned to an email based on how many suspicious patterns it matches. Each matching signal adds points — and when the total crosses a threshold, the email is classified as spam, bulk mail, or a phishing attempt.
Unlike binary allow/block filters, scores let you understand why something was flagged and how confidently. A score of 2 means a minor issue; a score of 15 means the engine found a dense cluster of high-confidence signals.
Gorganizer's scoring engine is defensive by default: it never deletes starred emails, emails with invoice or receipt keywords, replies, or calendar invites — regardless of score. All moves go to Gmail trash with a 30-day recovery window.
The 6 Scoring Modules
Every email passes through all six modules. Signals are additive — the final score is the sum of points from every module.
Header Analysis
SPF, DKIM, and DMARC authentication results reveal whether the sender is who they claim to be. We also check routing hop counts, X-Mailer patterns that indicate bulk senders, and Reply-To injection — a classic BEC trick where replies go to an attacker-controlled address.
- SPF/DKIM/DMARC pass/fail status
- Routing hop count anomalies
- X-Mailer bulk sender patterns
- Reply-To injection detection
- Authentication header forgery
Sender Reputation
A sender's domain carries a reputation built over time. Newly registered domains, domains that mimic real brands, freemail accounts impersonating businesses, and known spam infrastructure all receive elevated scores.
- Domain age (newly registered = high risk)
- Freemail vs. corporate domain check
- Lookalike domain detection (paypa1, amaz0n)
- Known spam domain blocklist
- Subdomain abuse patterns
Subject Analysis
The subject line is the most consistently abused spam vector. We detect urgency words, keyword patterns used in known phishing campaigns, ALL CAPS sections, excessive exclamation marks or question marks, and misleading "Re:" or "Fwd:" prefixes on unsolicited messages.
- Urgency and threat language patterns
- Known spam keyword combinations
- ALL CAPS word count threshold
- Excessive punctuation (!!!)
- Fake Re:/Fwd: prefix on cold email
Body Content
Spam and phishing emails have recognizable body patterns: bulk mailing boilerplate, credential-harvesting requests, URL shorteners hiding malicious destinations, invisible zero-width text inserted to confuse filters, and homoglyph substitutions that look like real words to humans but not to scanners.
- Bulk mailing and unsubscribe pattern detection
- Phishing credential request language
- URL shortener and redirect detection
- Invisible/zero-font-size text
- Homoglyph obfuscation (е vs e)
Attachment Signals
Malicious attachments deliver malware, ransomware, and credential stealers. We flag known-dangerous file extensions, double-extension tricks, password-protected archives (used to bypass automated scanning), OneNote abuse, and calendar invites used as phishing lures.
- Dangerous file types (.exe, .zip, .html, .svg)
- Double-extension tricks (invoice.pdf.exe)
- Password-protected archive detection
- OneNote (.one) attachment abuse
- Calendar invite (.ics) phishing lures
Structural Signals
Structural metadata about an email often reveals its true nature. Long-unread messages, emails sent during off-hours, unusual Gmail label combinations, and HTML structure that hides content from readers while showing it to tracking systems all contribute to the final score.
- Unread age (emails unread for 90+ days)
- Off-hours send time patterns
- Gmail label-based context signals
- HTML structure anomalies
- Thread depth and reply-chain absence
Spam Score Thresholds
What does a given score actually mean? Here's how Gorganizer interprets each range.
No significant spam signals detected. Email is likely legitimate and safe.
Some spam signals present. Review the email carefully before acting on any requests.
Multiple high-confidence spam signals found. High probability this is unwanted or malicious email.
Dense cluster of spam/phishing signals. Gorganizer will move this to Gmail trash automatically.
Sending Email? How to Reduce Your Spam Score
If you send newsletters, transactional email, or outreach campaigns, these are the fastest ways to improve deliverability.
Authenticate your domain
Publish SPF, DKIM, and DMARC DNS records. Failing authentication is the single highest-weight spam signal.
Avoid spam trigger words
Subject lines with "Free," "Act now," "Urgent," "Winner," or "Claim your prize" reliably trigger filters. Use plain, accurate language.
Send from a corporate domain
Freemail addresses (Gmail, Yahoo, Hotmail) sending business or invoice content score significantly higher than authenticated corporate domains.
Don't use URL shorteners
bit.ly, tinyurl.com, and similar redirectors hide destination URLs — a classic phishing technique that triggers body-content signals.
Include a real unsubscribe link
Marketing emails without a List-Unsubscribe header are penalized. Proper unsubscribe headers signal legitimate bulk mail.
Don't send at 3 AM
Legitimate business email follows business hours. Off-hours sends — especially combined with urgency language — correlate with spam campaigns.
Frequently Asked Questions
- What is an email spam score?
- An email spam score is a numeric value that measures how likely an email is to be spam or malicious. Higher scores indicate more spam signals detected. Spam filters assign points for suspicious patterns — such as failed authentication, urgency language, URL shorteners, or dangerous attachments — and sum them into a final score.
- What makes an email have a high spam score?
- High spam scores are driven by: failed SPF/DKIM/DMARC authentication, urgency or threat language in the subject line, excessive punctuation or ALL CAPS, URL shorteners or lookalike links, freemail senders claiming to be businesses, unexpected invoice or payment requests, dangerous attachment types (.exe, .zip, .html), and sending from newly registered domains.
- How does Gorganizer calculate spam scores?
- Gorganizer uses 1,300+ detection signals across six modules: Header Analysis (SPF/DKIM/DMARC, routing hops, X-Mailer patterns), Sender Reputation (domain age, freemail vs corporate, known spam domains), Subject Analysis (urgency words, keyword patterns, ALL CAPS, excessive punctuation), Body Content (bulk patterns, phishing indicators, URL shorteners, invisible text), Attachment Signals (dangerous file types, password-protected archives), and Structural Signals (unread age, send time, Gmail labels). All processing runs server-side — no email content is stored.
- Can I reduce the spam score of my emails?
- Yes. To lower your email's spam score: authenticate your domain with SPF, DKIM, and DMARC records; avoid spam trigger words like "free," "urgent," or "act now" in subject lines; use a real corporate domain rather than freemail (Gmail, Yahoo) for business sending; never use URL shorteners; keep a clean sending reputation with low bounce rates; and always include a real unsubscribe link for marketing emails.
- What spam score is too high?
- In Gorganizer's scoring system, a score of 0–3 is Clean (safe to deliver), 4–7 is Suspicious (review recommended), 8–12 is Likely Spam (high probability of unwanted email), and 13 or higher is High Confidence Trash (strongly indicates spam, phishing, or malicious content). Most legitimate marketing emails score 0–2 when properly authenticated.
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