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Security Scan Report: ljoneshayden.pages.dev

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Submitted: Dec 26, 2025, 12:14:22 AMCompleted: Dec 26, 2025, 12:14:43 AMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 16 domains to perform 46 HTTP transactions. The main domain is ljoneshayden.pages.dev and was registered NaN years ago.

Submitted URL: https://ljoneshayden.pages.dev/kfgud-social-security-2025-benefits-calendar-nhqdl/

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Impersonates Social Security on a non‑official site; high risk of phishing.

Risk Factors
Brand impersonation of Social Security on an unrelated domain
Unranked domain presenting official‑sounding content
Domain age information unavailable

Details

Page Title

Social Security 2025 Benefits Calendar - L Jones Hayden

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(72%)

Domain Information

The domain 'ljoneshayden.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'ljoneshayden'. Count 5 characters in 'pages' split between two vowels and 3 consonants. Word splitting yields 1 word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ljoneshayden.pages.dev/kfgud-social-security-2025-benefits-calendar-nhqdl/

Page Load Overview

7.60s
Total Load Time
35
HTTP Requests
16
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:3,499 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
72%
government public service
56%
corporate
35%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11216.58.206.67United States
AS15169GOOGLE
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
2172.67.166.38United States
AS13335CLOUDFLARENET
2192.185.5.168United States
AS19871NETWORK-SOLUTIONS-HOSTING
2142.251.140.170United States
AS15169GOOGLE
2172.66.169.241United States
AS16509
2104.20.23.96United States
AS13335CLOUDFLARENET
2172.66.45.10United States
AS13335CLOUDFLARENET
213.33.187.28United StatesUnknown
3513--

Detected Technologies7

WordPressv6.4.3
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5130A26A5DD61332F0B83BCE551BA09EB69D618C6038E7839F875089BD4EFA40B315D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ZcZdapNPTJZHZJpl3eWv66Et+mJyMN9Vs:ZsapVTJNZJpl3eWbEt+mJyMN9O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44565:ETIUQOIGMAIBB8BBACgUARSxOgTiIshCISgUKahJKmBDgOoLLoABgZeQVSgAJEQAggISB2CoSCtkKQIEDMAgA0yAASBQDiII

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:ffcf83838387cf8f
Perceptual Hash:b841c7466cce6c6e
Difference Hash:2a1a2f2b2f2f3c3c
Wavelet Hash:bf8783838383878f
Color Hash:#bf6040

Other Hashes

Crop Resistant:2a1a2f2b2f2f3c3c

Scan History

Scan history not available

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