Security Scan Report: benmcgarryb.pages.dev

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Submitted: Jan 3, 2026, 4:29:35 PMCompleted: Jan 3, 2026, 4:30:47 PMpubliccompleted
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Summary

This website contacted 18 IPs in 3 countries across 16 domains to perform 51 HTTP transactions. The main domain is benmcgarryb.pages.dev and was registered NaN years ago.

Submitted URL: https://benmcgarryb.pages.dev/yodqt-2025-social-security-cola-2025-payment-schedule-2025-ybgkq/

AI Security Verdict

High Risk

Confidence: 60%

9
Risk Score

Heuristic analysis (AI unavailable): Brand impersonation: Social Security branding on non-official domain

Risk Factors
Brand impersonation: Social Security branding on non-official domain
Domain age information unavailable

Details

Page Title

Social Security Cola 2025 Payment Schedule 2025 - Ben B. McGarry

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(38%)

Domain Information

You're looking at domain 'benmcgarryb.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'benmcgarryb'. The registrable portion 'pages' spans 5 characters split between 2 vowels and 3 consonants. Breaking it apart gives 1 word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://benmcgarryb.pages.dev/yodqt-2025-social-security-cola-2025-payment-schedule-2025-ybgkq/

Page Load Overview

4.57s
Total Load Time
57
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:3,135 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service38% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
38%

Detected Features

Search
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
687.248.119.251Germany
3172.66.169.241United States
AS13335CLOUDFLARENET
3150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3104.20.23.96United States
AS13335CLOUDFLARENET
3188.114.97.3United States
AS13335CLOUDFLARENET
3188.114.96.3United States
AS13335CLOUDFLARENET
3172.66.40.135Unknown
3104.21.18.46United States
AS13335CLOUDFLARENET
3172.240.108.84Unknown
3151.101.66.159United States
AS54113FASTLY
5718--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13513E832509D193B2E4F53D9D162771DE96EEA30CA038A6DB6F920589FC0FF641A312D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:wzLZdapz3148nLEOXL4Tv6BbST9ZYfHgZj9FtglUYJYzI1y:w3apQT9+fHSj/WlUYJYzI1y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43370:AMBOkwVpQYKBWQskqoFRABoCAqKZYACAARBCEooUQtI4CwNomAFY8A1ZCYTgYUhtQAADVKQgCACIPDBJwAoMAzMUCFQCIgQ0

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:f700ffffff878787
Perceptual Hash:bec136e2c9a68596
Difference Hash:cc181819390f2f2f
Wavelet Hash:ff008e8dfd838383
Color Hash:#40b5bf

Scan History

Scan history not available

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