Security Scan Report: lukegooseberryj.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 17 IPs in 1 country across 17 domains to perform 39 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://lukegooseberryj.pages.dev/rrtwc-social-security-data-breach-2025-notification-zjurl/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

High‑risk phishing page impersonating a Social Security breach notification.

Risk Factors (5)
Malicious external link to pages.dev (known malicious domain)
Brand impersonation of Social Security on a non‑official domain
Unranked domain with suspicious content
Multiple redirects leading to the final URL
Presence of a subdomain under a known malicious parent domain
Domain age information unavailable

Details

Page Title

Social Security Data Breach 2025 Notification - Luke J. Gooseberry

Scan Type

public

Domain Name Analysis

Domain 'lukegooseberryj.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'lukegooseberryj'. Count 5 characters in 'pages' containing 2 vowels alongside 3 consonants. Tokenizing the label suggests 1 word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

LUKE J. GOOSEBERRY Donna GayleenKacy SallieTrude HorLuke J. Gooseberry Search ABOUT CONTACT DISCLAIMER DMCA PRIVACY POLICY TERMS AND CONDITIONS SOCIAL SECURITY DATA BREACH 2025 NOTIFICATION SOCIA...

Page Load Overview

7.37s
Total Load Time
2.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:3,278 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service47% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
47%
documentation technical
40%
news/blog
30%
download file sharing
27%
adult content
25%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20172.66.47.204United States
AS13335CLOUDFLARENET
4172.217.18.3UnknownUnknown
1104.21.18.46United States
AS13335CLOUDFLARENET
116.15.199.33UnknownUnknown
1172.240.127.234UnknownUnknown
1104.20.23.96United States
AS13335CLOUDFLARENET
1172.67.71.216UnknownUnknown
1172.66.40.215UnknownUnknown
1172.66.169.241UnknownUnknown
1185.2.4.47UnknownUnknown
017--

Detected Technologies8

WordPressv6.6.1
100%
JQueryv3.7.1
100%
Bootstrapv4.5.0
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184031933909C157B3A1F73D8A1A2B31CE5A7A528CE13472A7AFC61148F90DF645B711E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:uunoSQ0ryI0dMZdapzVTWZgaj0nO4GdMzztv+RxoODYx1rJ5YxYM:uunoSQ0ryI0d8apZTWCaj0nO4GdMntvE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39536:gWISBQ02eRhRIJo8QURlgBUrKlgADFQioRAokKQEZIAFuAw4URzKYBAKLG7AicIgBAooyrY5BgPFLAIabFIwolsUPS4LyIAK

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:dfffffffdf878787
Perceptual Hash:b2cd3632c97a31cc
Difference Hash:3b0c4c1b130e2c2e
Wavelet Hash:99c7e7c9c3838383
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data