Security Scan Report: edwardncolbourne.pages.dev

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Submitted: Nov 26, 2025, 11:03:48 AMCompleted: Nov 26, 2025, 11:06:40 AMpubliccompleted
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Summary

This website contacted 33 IPs in 4 countries across 13 domains to perform 37 HTTP transactions. The main domain is edwardncolbourne.pages.dev.

Submitted URL: https://edwardncolbourne.pages.dev/duckq-social-security-check-calendar-for-2025-yasbr/

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

High‑risk phishing site impersonating known brands on an untrusted domain.

Risk Factors
Brand impersonation on a low‑reputation, unranked domain
New or unknown domain age
Use of a generic hosting subdomain (pages.dev) for brand‑related content
Domain age information unavailable

Details

Page Title

Social Security Check Calendar For 2025 - Edward N Colbourne

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(81%)

Domain Information

The domain 'edwardncolbourne.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'edwardncolbourne'. Its registrable label 'pages' stretches across 5 characters with two vowels and three consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://edwardncolbourne.pages.dev/duckq-social-security-check-calendar-for-2025-yasbr/

Page Load Overview

1.77s
Total Load Time
37
HTTP Requests
13
Domains
1.9 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:2,704 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
81%
corporate
35%
government public service
33%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17172.66.47.181United States
AS13335CLOUDFLARENET
2172.66.136.209United States
AS13335CLOUDFLARENET
282.98.157.73Madrid, Madrid, Spain
AS42612DinaHosting S.L.
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
167.227.189.78United States
AS32244LIQUIDWEB
1172.67.166.38United States
AS13335CLOUDFLARENET
1172.66.44.75United States
AS13335CLOUDFLARENET
146.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
1216.58.206.33United States
AS15169GOOGLE
152.217.114.121Ashburn, Virginia, United States
AS16509AMAZON-02
3733--

Detected Technologies4

WordPressv6.5.3
100%
JQueryv3.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190F20A32909D54773A1F93EC91A57318B8A9AA34CA039FB272F573245FC4DF600A725E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ayIZdapi4REEodHx2qxA/BEE+6+UYzQFZ0:YapZREEodHx2qxA2E+6+UYzQFe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36136:BCAjCTHAiADkQB0oCAAjDECSZJpneowKmUFRZSsogYkISKFETAEMJIGKHBUyKEIAoVCB9dwXJABgV1BoiNEByIE6UFwEBgih

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:c381cfff8787ffc7
Perceptual Hash:be6bc93636c1c03a
Difference Hash:0f2b3b2e2f2f2f2f
Wavelet Hash:81818fdf83c3c787
Color Hash:#85e06c

Scan History

Scan history not available

Unable to load historical scan data