Security Scan Report: brodiejollye.pages.dev

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Submitted: Dec 10, 2025, 4:39:03 PMCompleted: Dec 10, 2025, 4:39:37 PMpubliccompleted
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Summary

This website contacted 32 IPs in 1 country across 8 domains to perform 33 HTTP transactions. The main domain is brodiejollye.pages.dev.

Submitted URL: https://brodiejollye.pages.dev/nuydq-social-security-maximum-benefit-2025-images-references-pfgjn/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No suspicious activity or phishing indicators observed
Domain does not host login or payment collection forms
Domain age information unavailable

Details

Page Title

Social Security Maximum Benefit 2025 Images References : - Brodie Jolly

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'brodiejollye.pages.dev' is registered and includes subdomain 'brodiejollye'. Count 5 characters in 'pages' holding 2 vowels versus 3 consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://brodiejollye.pages.dev/nuydq-social-security-maximum-benefit-2025-images-references-pfgjn/

Page Load Overview

18.99s
Total Load Time
33
HTTP Requests
8
Domains
367 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:2,043 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
blog personal website
33%
adult content
31%
government public service
31%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.66.44.90United States
AS13335CLOUDFLARENET
1150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1104.20.23.96United States
AS13335CLOUDFLARENET
1172.240.127.243United States
AS7979SERVERS-COM
1172.67.212.207United States
AS13335CLOUDFLARENET
1172.66.47.166United States
AS13335CLOUDFLARENET
1188.114.96.3United States
AS13335CLOUDFLARENET
1188.114.97.3United States
AS13335CLOUDFLARENET
1104.26.14.73United States
AS13335CLOUDFLARENET
1172.240.127.234United States
AS7979SERVERS-COM
3332--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173F21B3291AD1476765F93D851A63318A4EAEA34CB035BB171F6B1284FC5CF700A721F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6WIZdapi42EEodJJ2qxVi1LZfEEXJbbbzQFZ5WJ:4apZ2EEodJJ2qxVi1LZfEEXJbbbzQFrc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34496:DIwyKOhDqWUJp2gASiJgFAkEbwlo8kkAEL2CylAw/oBARQqcuAgUAAAgdULIgIGCGgFmgogLAJiYYVCABlbJAkrRAJBUyKAQ

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:81818fffff879fe7
Perceptual Hash:be696638e6893cc1
Difference Hash:0b2b3b2b2b37332f
Wavelet Hash:81818f838387fbe7
Color Hash:#40b5bf

Scan History

Scan history not available

Unable to load historical scan data