Summary
This website contacted 8 IPs in 2 countries across 8 domains to perform 15 HTTP transactions. The main domain is macgraypartshugo-ozie4d70li.edgeone.app and was registered NaN years ago.
Submitted URL: https://macgraypartshugo-ozie4d70li.edgeone.app/15486-russell-taylor-wiki-release-date-age-wife-jared-fogle.html
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 80%
Low risk site with no malicious indicators; likely a benign informational article.
Risk Factors
Safety Factors
Details
Page Title
Russell Taylor Wiki, Release Date, Age, Wife, Jared Fogle
Scan Type
public
Language
English
Category
documentation technical
(53%)Domain Information
Domain 'macgraypartshugo-ozie4d70li.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'macgraypartshugo-ozie4d70li'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Tokenizing the label suggests two words: edge, one. Median word length is 3.5 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 |
|---|---|---|---|
| 5 | 43.152.26.58 | Singapore | AS139341ACE |
| 2 | 142.250.154.94 | United States | AS15169Google LLC |
| 2 | 104.21.0.120 | United States | AS13335Cloudflare, Inc. |
| 2 | 172.240.108.84 | United States | AS7979Servers.com, Inc. |
| 2 | 188.114.96.3 | United States | AS13335Cloudflare, Inc. |
| 2 | 142.250.154.95 | United States | AS15169Google LLC |
| 2 | 172.66.169.241 | United States | AS13335Cloudflare, Inc. |
| 2 | 104.20.8.223 | United States | AS13335Cloudflare, Inc. |
| 19 | 8 | - | - |
Detected Technologies3
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
Scan history not available
Unable to load historical scan data