Security Scan Report: www.dwell.com

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Submitted: Oct 30, 2025, 7:36:29 PMCompleted: Oct 30, 2025, 7:39:42 PMpubliccompleted
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Summary

This website contacted 197 IPs in 7 countries across 67 domains to perform 150 HTTP transactions. The main domain is dwell.com and was registered NaN years ago.

Submitted URL: https://www.dwell.com/article/marbury-house-jfk-washington-dc-real-estate-4a392a4b

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

JFK’s Former Washington, D.C., Home Is on the Market for $7.5M - Dwell

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

real estate property

(85%)

Domain Information

Domain 'www.dwell.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 5 characters in 'dwell' split between one vowel and 4 consonants. Splitting it apart reveals one word: dwell. 'dwell' is most common in Chinese (Pinyin) usage. You may catch it in English and Tamil as well. Overall, 'www.dwell.com' reads as Chinese (Pinyin) with single-word simplicity.

Screenshot

Security scan screenshot of https://www.dwell.com/article/marbury-house-jfk-washington-dc-real-estate-4a392a4b

Page Load Overview

5.14s
Total Load Time
150
HTTP Requests
67
Domains
2.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:4,913 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property85% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
85%
news/blog
35%
finance banking
33%
government public service
31%
documentation technical
27%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
150142.250.185.130United States
AS15169GOOGLE
1418.64.15.29United StatesUnknown
12146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
834.8.80.53Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
691.228.74.166United Kingdom
AS16509AMAZON-02
5172.66.168.19United States
AS13335CLOUDFLARENET
5157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
43.33.220.150Seattle, Washington, United States
AS16509AMAZON-02
4142.250.185.226United States
AS15169GOOGLE
150197--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164343B370744B4A5960A86407EFE3FC9A29DC10AEA2ECC93D5E4466DCFC1AE44D22F5D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:OXyydh/dwoL1BjLTLQ4V/PKsbVH3bD+B+eaBskQmKCaGV9BC:6yyxwoLrjLTLQ4VHTNVK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:241153:eBFIoRhZ8EIlgCUwIHtjMtiQ2DgwgmAAZIYICZgaqCcgFEIMpZIEqSAAIGe9AIgRAgQwaVAAJPAiwkAQItgHChBDaEBmwi6w

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:e0e0f8f8b810e0ff
Perceptual Hash:cb46a62e99e19d98
Difference Hash:4c45f0f071714936
Wavelet Hash:e0e0f8f8b810e0ff
Color Hash:#ac5394

Scan History

Scan history not available

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