Security Scan Report: arlenecbaileya.pages.dev

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Submitted: Jan 6, 2026, 11:05:55 PMCompleted: Jan 6, 2026, 11:07:41 PMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 13 domains to perform 51 HTTP transactions. The main domain is arlenecbaileya.pages.dev and was registered NaN years ago.

Submitted URL: https://arlenecbaileya.pages.dev/ssnko-social-security-income-limit-2025-calculator-wpscd/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain (>5 years)
No credential or payment fields
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Social Security Income Limit 2025 Calculator - Arlene C Bailey

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'arlenecbaileya.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'arlenecbaileya'. Count 5 characters in 'pages' with two vowels and three consonants. It segments into one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arlenecbaileya.pages.dev/ssnko-social-security-income-limit-2025-calculator-wpscd/

Page Load Overview

37.46s
Total Load Time
39
HTTP Requests
13
Domains
1.3 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:4,754 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
news/blog
30%
adult content
27%
government public service
25%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.67.180.98United States
AS13335CLOUDFLARENET
2104.20.23.96United States
AS13335CLOUDFLARENET
2176.9.114.118Germany
2150.171.27.10Germany
2172.66.169.241United States
AS13335CLOUDFLARENET
2104.198.108.103The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
2188.114.97.3United States
AS13335CLOUDFLARENET
2136.243.106.228Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
216.15.0.240GermanyUnknown
2172.67.71.34United States
AS13335CLOUDFLARENET
3915--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F223083254EC08733D1F63DA9265771CE8AABA30C9035BB671FA6014AB84EF341A755E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lyhvA8Zdap6oTWZ/LEEJzOiWA93DIxQdAztQ1j972AxiUQ5mUSL+/kjfF0Jf0sQ:mapxTWhEEJzOiWA9394Q1p72AxiUQ5ra

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47303:BBTAVIxARqoCoAgFIhgRwBCQIzAgAUYAEwJpwwEHYiB8cwAVfACQmIAAlVQQGACtSwCTGG2EhAhKoEoYhYhVBmEYCkacIioh

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:00e7ff8787878787
Perceptual Hash:bf4941371536c95a
Difference Hash:8c0f312e2f2f2d3c
Wavelet Hash:0081ff878787879f
Color Hash:#57bf40

Scan History

Scan history not available

Unable to load historical scan data