Security Scan Report: betsyhmrazg.pages.dev

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Submitted: Dec 31, 2025, 2:28:15 AMCompleted: Dec 31, 2025, 2:29:39 AMpubliccompleted
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Summary

This website contacted 20 IPs in 3 countries across 16 domains to perform 51 HTTP transactions. The main domain is betsyhmrazg.pages.dev and was registered NaN years ago.

Submitted URL: https://betsyhmrazg.pages.dev/atgku-social-security-max-income-allowed-2025-uk-cwinu/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing site due to malicious primary domain and brand impersonation.

Risk Factors
Primary domain pages.dev flagged as malicious Indicators of Compromise
Brand impersonation/typosquatting on an unranked domain
Unranked domain presenting a major brand name (Etsy) without official branding
Domain age information unavailable

Details

Page Title

Social Security Max Income Allowed 2025 Uk - Betsy H Mraz

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(94%)

Domain Information

You're looking at domain 'betsyhmrazg.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'betsyhmrazg'. The registrable portion 'pages' spans 5 characters with 2 vowels and three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://betsyhmrazg.pages.dev/atgku-social-security-max-income-allowed-2025-uk-cwinu/

Page Load Overview

17.14s
Total Load Time
35
HTTP Requests
16
Domains
1.5 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:2,603 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software94% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
94%
entertainment media
94%
documentation technical
89%
news media journalism
69%
adult content
58%

Detected Features

Search
Articles
Comments
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
1104.196.233.173The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
1188.114.96.3United States
AS13335CLOUDFLARENET
1167.114.50.130Montreal, Quebec, Canada
AS16276OVH SAS
1108.138.26.38Unknown
1104.20.23.96Unknown
1172.217.23.99United States
AS15169GOOGLE
1141.193.213.10Unknown
1104.21.18.46United States
AS13335CLOUDFLARENET
1188.114.97.3United States
AS13335CLOUDFLARENET
3520--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T198F2093250AC04333A0B93CCD1947328E5ADA625CA039F7576FC22299FD5EF700A7A5E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9ptNzJtdKtvUtxgw6oZdapNr4cc3vxiMh473Lbkjyvi5/5+5n5gwX5TBQ5t5s9Rj:RZEsbapd4biMh473MmpRaTT6MQw1vUK4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37086:CklwHABWAKACKgxaioEAIUgNAzTgFKUMJIwpEGIiQiYngQAAI4ZASChAOEBYgPoEAxPCAEkAYBCQpigAJBBAFhAYMEADI4KS

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:ffcfffffcf87c7c7
Perceptual Hash:b0cf6730cd33cc38
Difference Hash:2e2b3a3a371f1f1e
Wavelet Hash:8783838f878787c7
Color Hash:#87afc5

Scan History

Scan history not available

Unable to load historical scan data