Summary
This website contacted 62 IPs in 5 countries across 22 domains to perform 51 HTTP transactions. The main domain is embedded.transcy.io and was registered NaN years ago.
Submitted URL: https://transcy-embed-fe.onecommerce.io/
Effective URL: https://embedded.transcy.io/Redirected
The Cisco Umbrella rank of the primary domain is #108,267 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no apparent security concerns.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
UNKNOWN
Category
unknown
(0%)Domain Information
Domain 'transcy-embed-fe.onecommerce.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'transcy-embed-fe'. The core label 'onecommerce' covers 11 characters holding five vowels versus 6 consonants. Splitting it apart reveals two words: one, commerce. The median word length lands at 5.5 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 |
|---|---|---|---|
| 16 | 172.66.155.211 | United States | AS13335CLOUDFLARENET |
| 6 | 142.250.185.168 | United States | AS15169GOOGLE |
| 3 | 142.250.186.46 | United States | AS15169GOOGLE |
| 3 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 146.75.121.140 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 23.227.39.200 | Ottawa, Ontario, Canada | AS13335CLOUDFLARENET |
| 2 | 157.240.253.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 172.217.18.3 | United States | AS15169GOOGLE |
| 2 | 104.16.80.73 | United States | AS13335CLOUDFLARENET |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 51 | 62 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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