Summary
This website contacted 130 IPs in 5 countries across 37 domains to perform 213 HTTP transactions. The main domain is oldest.org and was registered NaN years ago.
Submitted URL: https://www.oldest.org/people/bieber-siblings/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Justin Bieber's 4 Siblings Ranked Oldest to Youngest - Oldest.org
Scan Type
public
Language
English
Category
news/blog
(35%)Domain Information
The domain name 'www.oldest.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. The core label 'oldest' covers 6 characters holding 2 vowels versus four consonants. It segments into 1 word: oldest. The median word length lands at 6 characters. 'oldest' most strongly signals English. Usage also turns up in Chinese (Pinyin) and Chinese (Zhuyin) contexts. Taken together, it feels English with single-word simplicity.
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 |
|---|---|---|---|
| 84 | 18.66.147.26 | United States | AS16509AMAZON-02 |
| 1 | 18.244.18.38 | United States | AS16509AMAZON-02 |
| 1 | 52.222.136.122 | United States | AS16509AMAZON-02 |
| 1 | 18.244.18.32 | United States | AS16509AMAZON-02 |
| 1 | 130.61.225.139 | Frankfurt am Main, Hesse, Germany | AS31898ORACLE-BMC-31898 |
| 1 | 23.35.229.56 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 185.89.210.153 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 1 | 69.173.144.137 | Frankfurt am Main, Hesse, Germany | AS26667RUBICONPROJECT |
| 1 | 142.250.185.74 | United States | AS15169GOOGLE |
| 1 | 216.58.206.70 | United States | AS15169GOOGLE |
| 213 | 130 | - | - |
Detected Technologies22
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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