Security Scan Report: sophieanthonys.pages.dev

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Submitted: Jan 2, 2026, 4:23:10 AMCompleted: Jan 2, 2026, 4:24:30 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 11 domains to perform 53 HTTP transactions. The main domain is sophieanthonys.pages.dev and was registered NaN years ago.

Submitted URL: https://sophieanthonys.pages.dev/mqymu-social-security-calendar-pay-dates-vcwcb/

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

Site is a high‑risk phishing page impersonating Google; do not trust or provide any credentials.

Risk Factors
Malicious Indicators of Compromise match on primary domain pages.dev
Brand impersonation/typosquatting (Google branding on non‑official domain)
Unranked domain with brand claims
Primary domain flagged as malicious by threat intelligence
Domain age information unavailable

Details

Page Title

Social Security Calendar Pay Dates - Sophie Anthony S

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(51%)

Domain Information

The domain 'sophieanthonys.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sophieanthonys'. Count 5 characters in 'pages' split between two vowels and three consonants. Splitting it apart reveals one word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sophieanthonys.pages.dev/mqymu-social-security-calendar-pay-dates-vcwcb/

Page Load Overview

2.33s
Total Load Time
39
HTTP Requests
11
Domains
1.4 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:4,535 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
51%
finance banking
40%
corporate
35%
news/blog
30%
healthcare medical
27%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.21.11.140United States
AS13335CLOUDFLARENET
3150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3172.66.169.241United States
AS13335CLOUDFLARENET
3188.114.96.3United States
AS13335CLOUDFLARENET
323.53.40.11Germany
313.37.187.223GermanyUnknown
3192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
3104.20.23.96United States
AS13335CLOUDFLARENET
3172.67.166.38United States
AS13335CLOUDFLARENET
3146.75.120.84GermanyUnknown
3911--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15823093291BD0833365B53EDD160B31C699ADE34CA136AA9B2FA7654ABC1DF200B315D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:BZdap6iTWZY5EEMwTU6wMiS8/mcZHJBEo4:hapfTWcEEMwTU6wMiS8/mcZHJBEo4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46097:gD+IzxOCAoqaBjJAeAjAiCLlFiABKpAaQRBjxhGEUUKKixTjFBviARRQMUCbiWgyxhZPISBDSgB9GocuhAEEAQnHgKAYgCFF

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:009fffff97878f9f
Perceptual Hash:bc4619364f1c629f
Difference Hash:b33552a72f1d3553
Wavelet Hash:0000fff78787878f
Color Hash:#3a7478

Scan History

Scan history not available

Unable to load historical scan data