Summary
API
Submitted URL: https://www.thealulatour.com/en/team/UAD/uae-team-emirates-xrg
AI Security Verdict
Low Risk
Confidence: 82%
The site shows only informational content about a sports team, has no forms or malicious indicators, and is hosted on an older, well‑established domain.
Safety Factors (4)
Details
Page Title
Profil of UAE TEAM EMIRATES XRG - AlUla Tour 2026
Scan Type
public
Domain Name Analysis
Domain 'www.thealulatour.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'thealulatour' stretches across 12 characters holding 6 vowels versus six consonants. Splitting it apart reveals four words: the, a, lula, tour. 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 |
|---|---|---|---|
| 12 | 23.50.131.137 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 12 | 146.75.122.133Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 12 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 12 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 48 | 4 | - | - |
Detected Technologies9
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