Summary
This website contacted 17 IPs in 2 countries across 12 domains to perform 60 HTTP transactions. The main domain is yungbludofficial.com and was registered NaN years ago.
Submitted URL: https://www.yungbludofficial.com/tour/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Bot Protection Detected
This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.
Page Title
Tour - YUNGBLUD
Scan Type
public
Language
English
Category
social media network
(42%)Domain Information
Within the commercial generic top-level domain (.com), 'www.yungbludofficial.com' is registered with subdomain 'www'. Its registrable label 'yungbludofficial' stretches across 16 characters with six vowels and ten consonants. Splitting it apart reveals four words: yung, blu, d, official. Expect 3.5 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 |
|---|---|---|---|
| 8 | 108.138.26.87 | United States | AS16509AMAZON-02 |
| 5 | 142.250.186.136 | United States | AS15169GOOGLE |
| 5 | 45.60.33.79 | United States | AS19551INCAPSULA |
| 5 | 184.24.77.141 | United States | |
| 5 | 184.24.77.144 | United States | |
| 5 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 172.217.23.106 | United States | AS15169GOOGLE |
| 5 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 104.18.40.238 | United States | AS13335CLOUDFLARENET |
| 5 | 52.217.50.62 | United States | Unknown |
| 88 | 17 | - | - |
Detected Technologies16
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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