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Security Scan Report: aflamcityblog-dpc0h32zjdpb.edgeone.app

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Submitted: Jun 28, 2026, 10:42:09 PMCompleted: Jun 28, 2026, 10:43:17 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is aflamcityblog-dpc0h32zjdpb.edgeone.app and was registered NaN years ago.

Submitted URL: https://aflamcityblog-dpc0h32zjdpb.edgeone.app/33-cavendish-square-london-w1g-0pw.html

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The page appears to be a benign article without credential collection; risk is low to moderate due to obfuscated JavaScript and unknown subdomain age.

Risk Factors
High JavaScript obfuscation score (critical)
Subdomain on edgeone.app with unknown creation date
Safety Factors
Page type is article (og:type=article)
No forms or data exfiltration observed
No brand impersonation in meta tags
No external malicious links or resources
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

33 Cavendish Square London W1G 0PW: A Central Hub in Marylebone’s Cultural Landscape

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(54%)

Domain Information

Domain 'aflamcityblog-dpc0h32zjdpb.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'aflamcityblog-dpc0h32zjdpb'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Word splitting yields 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aflamcityblog-dpc0h32zjdpb.edgeone.app/33-cavendish-square-london-w1g-0pw.html

Page Load Overview

2.03s
Total Load Time
14
HTTP Requests
10
Domains
169 KB
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:4,527 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
54%
real estate property
44%
travel tourism
44%
blog personal website
43%
phishing scam
41%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.108.76United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2104.21.62.176United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
145--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED72D823B94551383B664095E181F7BC6E3C8427D7428CA0B8DDF33E9BCA6D7517A3A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SG3HhnYf8zX+jSqhS+9c2Lrl67u5i5XKtAMEorWag4MVC1M:R3Hhnz+jSqhS+9Dfyu5i5XKmMhrWag4O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16864:QA2KFKgR2AhgqCIAmYQCD4ADUIkCCEggBBBIN8yZgSgACDhBoI4OUmiIbCYWGAgiF2LGD2jWBKAaFKkaI5AZRBDVCKAMBB4B

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:197c01013d217d7d
Perceptual Hash:8a3cc1dc9c3c3d9c
Difference Hash:f1c94121c1c1c1c1
Wavelet Hash:197d01017d217f7d
Color Hash:#2d8658

Other Hashes

Crop Resistant:564646000200200e,f1c94121c1c1c5c1

Scan History

Scan history not available

Unable to load historical scan data