Summary
This website contacted 2 IPs in 1 country across 3 domains to perform 3 HTTP transactions. The main domain is emailopen.com and was registered NaN years ago.
Submitted URL: https://emailopen.com
Effective URL: https://www.emailopen.com/Redirected
The Cisco Umbrella rank of the primary domain is #107,141 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site shows its own brand, is decades old, has no malicious forms or indicators, and is therefore legitimate.
Safety Factors
Details
Page Title
Internal Communication - Employee Email Newsletter | EmailOpen
Scan Type
public
Language
English
Category
healthcare medical
(45%)Domain Information
Domain 'emailopen.com' uses the commercial generic top-level domain (.com). The core label 'emailopen' covers 9 characters holding five vowels versus 4 consonants. Segmentation suggests 2 words: email, open. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 14 | 142.250.154.97 | United States | AS15169Google LLC |
| 14 | 216.133.255.173 | United States | AS10912Unitas Global |
| 28 | 2 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data