Security Scan Report: www.architecturaldigest.com

Submitted: Oct 11, 2025, 10:18:39 AMCompleted: Oct 11, 2025, 10:20:49 AMpubliccompleted
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Summary

This website contacted 109 IPs in 2 countries across 17 domains to perform 83 HTTP transactions. The main domain is architecturaldigest.com and was registered NaN years ago.

Submitted URL: https://www.architecturaldigest.com/story/kim-kardashians-houses-see-where-shes-lived

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate article with no security concerns.

Safety Factors
Established domain with long registration history
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Page content aligns with the legitimate brand (Architectural Digest)
Domain age information unavailable

Details

Page Title

The Kim Kardashian House Empire Is Worth Well Over $100 Million—See Where She’s Lived | Architectural Digest

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(36%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.architecturaldigest.com' is registered; it also runs on subdomain 'www'. Its registrable label 'architecturaldigest' stretches across 19 characters holding seven vowels versus twelve consonants. It segments into two words: architectural, digest. The median word length lands at 9.5 characters. 'architectural' most often appears in English. You may catch it in Chinese (Pinyin) and French as well. Overall, 'www.architecturaldigest.com' reads as English.

Screenshot

Security scan screenshot of https://www.architecturaldigest.com/story/kim-kardashians-houses-see-where-shes-lived

Page Load Overview

41.05s
Total Load Time
83
HTTP Requests
17
Domains
2.4 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:38,632 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
36%
news/blog
35%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8318.173.205.46United States
AS16509AMAZON-02
0108.138.7.117United States
AS16509AMAZON-02
018.244.18.67United States
AS16509AMAZON-02
034.102.252.42Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
0142.250.186.142United States
AS15169GOOGLE
03.161.82.63United States
AS16509AMAZON-02
03.171.214.95United States
AS16509AMAZON-02
03.171.214.17United States
AS16509AMAZON-02
013.32.121.18New York, New York, United States
AS16509AMAZON-02
03.167.227.35United States
AS16509AMAZON-02
83109--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D44E8B1E1001537022B86DCB2A5B742B092D12DCA43705DEDE8C77E5BD7C62F26B62E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:XujBSzcucg7iVDKcUTbDwkb5xnn1KxQLx8FnUQSHPTG:OBSzcucg7iVDPUTbDwkb5xnn1KxQLx8b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:267573:XhuqSQ4gMLBJQYE4FEGM+YURCOAKFPuiAMlEkYQBQiGCQqOsgYADgpNSFBDQChFCsGAK4BISmZ0gTJNcQDBAExACkWiHGMoD

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:00003d3d3d380100
Perceptual Hash:9ec3306cd332cf32
Difference Hash:8c17697979773d3d
Wavelet Hash:00373f3f3f3b0701
Color Hash:#78663a

Other Hashes

Crop Resistant:8c17697979773d3d

Scan History

Scan history not available

Unable to load historical scan data