Security Scan Report: en.thepage.ua

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Submitted: Completed: publiccompleted
This website contacted 65 IPs in 7 countries across 46 domains to perform 171 HTTP transactions. The main domain is thepage.ua and was registered 6 years ago.

Submitted URL: https://en.thepage.ua/politics/the-life-of-queen-elizabeth-ii-what-she-was

AI Security Verdict

Safe Website

Confidence: 90%

1
Risk Score

Established Ukrainian news site (thepage.ua) serving an editorial article on Queen Elizabeth II; no forms, no threat-intelligence hits, no malware. Unranked status alone is not a risk signal.

Safety Factors (5)
Well-established domain with minimal-risk age category
News/article page type with visible author, publication date and section (Politics)
Legitimacy indicators include physical address and business entity references
Third-party scripts all served from top-1M ranked hosts; no cross-origin credential forms and no credential exfiltration detected
Hidden link block points to the publisher's own partner and social properties (Speka, ITC, mc.today, highload, facebook.com, instagram.com), not unrelated spam anchors
Domain age information unavailable

Details

Page Title

The life of Queen Elizabeth II: what she was | The Page

Scan Type

public

Domain Name Analysis

You're looking at domain 'en.thepage.ua' on the Ukrainian country-code top-level domain (.ua), featuring subdomain 'en'. Its registrable label 'thepage' stretches across 7 characters split between 3 vowels and 4 consonants. It segments into 2 words: the, page. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://en.thepage.ua/politics/the-life-of-queen-elizabeth-ii-what-she-was

Page Load Overview

8.82s
Total Load Time
9.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:93,697 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
63%
adult content
58%
news/blog
50%
news media journalism
42%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43172.67.72.106Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.7.107Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.6.107Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.178.183.119Google · CDNUnited States
AS15169Google LLC
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
245.133.44.4Philadelphia, Pennsylvania, United States
AS39572DataWeb Global Group B.V.
2142.251.110.154Google · CDNUnited States
AS15169Google LLC
2142.251.20.101Google · CDNUnited States
AS15169Google LLC
246.4.0.115Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
249.12.18.197Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
17165--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11415E832F580252F973B41C4B649E70AB2D6A21FF5964410F1DD07688FE6DB8A81F3A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:3Df0rt0jsZtYr0AzRbb5cVqomHwMSkihRlCuY6JyHTdB5pCR3F:3Df06fDihRs3BB5wtF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:954351:AQIAIwIASCCjSRCHZwAwxFAYQkYGEg3SIi+YkiHGjKAAqEVahBqbII+yIIQpBEoRRgENGIqmIQIUAAIEiMBGZoEAjk4WWAjh

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

Average Hash:0019181818180000
Perceptual Hash:9c4b63363c674d4c
Difference Hash:0db333333333b3bd
Wavelet Hash:009b9b9b9b9b9b03
Color Hash:#35d22d

Scan History

Scan history not available

Unable to load historical scan data