Summary
This website contacted 1 IP in 1 country across 1 domain to perform 25 HTTP transactions. The main domain is thechels.info and was registered NaN years ago.
Submitted URL: http://thechels.info/wiki/Mason_Mount
Effective URL: https://thechels.info/wiki/Mason_MountRedirected
The Cisco Umbrella rank of the primary domain is #581,414 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 85%
Legitimate fan wiki with low risk despite brand usage on a low‑ranking domain.
Safety Factors
Details
Page Title
Mason Mount - TheChels.info - The Chelsea Football Club Wiki
Scan Type
public
Language
English
Category
documentation technical
(42%)Domain Information
The domain name 'thechels.info' uses the informational generic top-level domain (.info). The core label 'thechels' covers 8 characters holding two vowels versus six consonants. Word splitting yields three words: the, chel, s. Expect three characters per word on average. 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 |
|---|---|---|---|
| 25 | 79.170.44.113 | Leeds, England, United Kingdom | AS20738Heart Internet limited |
| 25 | 1 | - | - |
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