Summary
API
Submitted URL: https://sorrelsky.com/collections/ben-nighthorse?srsltid=AfmBOooRdDsA-HV25kgd5Y-XLH2NbxeJ4Um0uQW0YQpXTs_KY3iaxsf3
AI Security Verdict
Details
Page Title
Ben Nighthorse Campbell | Nighthorse Jewelry | Sorrel Sky Gallery
Scan Type
public
Domain Name Analysis
The domain name 'sorrelsky.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'sorrelsky' covers 9 characters holding two vowels versus seven consonants. Segmentation suggests two words: sorrel, sky. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 0 | 142.251.38.66 | United States | AS15169GOOGLE |
| 0 | 104.26.13.168 | United States | AS13335CLOUDFLARENET |
| 0 | 216.239.34.36 | United States | AS15169GOOGLE |
| 0 | 172.66.158.185 | United States | AS13335CLOUDFLARENET |
| 0 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 0 | 23.227.38.65 | Ottawa, Ontario, Canada | AS13335CLOUDFLARENET |
| 0 | 216.58.209.206 | United States | AS15169GOOGLE |
| 0 | 76.223.57.73 | United States | AS16509AMAZON-02 |
| 0 | 34.120.87.25 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 0 | 157.240.205.35 | Helsinki, Uusimaa, Finland | AS32934FACEBOOK |
| 0 | 28 | - | - |
Detected Technologies5
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