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Security Scan Report: thespaces.com

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Submitted: Jun 25, 2026, 8:44:55 AMCompleted: Jun 25, 2026, 8:46:31 AMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 11 domains to perform 2 HTTP transactions. The main domain is thespaces.com and was registered NaN years ago.

Submitted URL: https://thespaces.com/the-worlds-10-tallest-buildings-topping-out-in-2020/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate, serving as a news/article page with no phishing, credential harvesting, or malware indicators.

Safety Factors
Established domain age
Self‑branding, not impersonating another brand
Absence of forms that collect credentials or payments
No malicious IoC, YARA, or IDS detections
Domain age information unavailable

Details

Page Title

The world’s 10 tallest buildings topping out in 2020 - The Spaces

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

You're looking at domain 'thespaces.com' on the commercial generic top-level domain (.com) and has no subdomain. The core label 'thespaces' covers 9 characters split between 3 vowels and six consonants. Breaking it apart gives two words: the, spaces. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://thespaces.com/the-worlds-10-tallest-buildings-topping-out-in-2020/

Page Load Overview

4.44s
Total Load Time
96
HTTP Requests
25
Domains
4.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:13,385 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%
corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
823.88.33.242Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
813.226.244.26United States
AS16509Amazon.com, Inc.
8142.251.20.95United States
AS15169Google LLC
8142.251.13.97United States
AS15169Google LLC
82.16.10.138Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
8172.67.129.120United States
AS13335Cloudflare, Inc.
8104.21.2.168United States
AS13335Cloudflare, Inc.
8142.250.154.93United States
AS15169Google LLC
9611--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B1417F3965C15396E37A3C6616B3B28FA008027DA035AD6F5ED089C5FC4E93A52F21D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:PrSkMS3HNn+L50UOy82GpVrm0r6Lj2VNarABkNGm8:z1R3HNn+d0Ub82GpVrm0Gmargqg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:196314:WAmmqAMIoBoLBK5QiDcBS4AyEJUBBMwqADJk4yAHRECwCAMXIIvDNQGBIY0A4CBoBEQj20AqAIAUKEADkBAVA0AUo5UrApYQ

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:7f7f7f0f3f3f0301
Perceptual Hash:80c16c907e3ec8ff
Difference Hash:f8c7efff7fed2f23
Wavelet Hash:7f7f7f030f170100
Color Hash:#6cc9e0

Other Hashes

Crop Resistant:f8c7efff7fed2f23,fbbfc7c3c7e3b3f3,c7e3a7262e131a18,8c8e9eb6cd4ebf2d

Scan History

Scan history not available

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