Security Scan Report: ajohnpaige.pages.dev

Submitted: Dec 20, 2025, 1:29:21 PMCompleted: Dec 20, 2025, 1:30:32 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 19 domains to perform 57 HTTP transactions. The main domain is ajohnpaige.pages.dev and was registered NaN years ago.

Submitted URL: https://ajohnpaige.pages.dev/iyfdo-social-security-tax-2025-limit-sqgsh/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Site impersonates Microsoft on an unrelated domain, high‑risk phishing.

Risk Factors
Brand impersonation on a non‑official domain
Unranked domain claiming a major brand
No legitimate brand verification in final URL
Domain age information unavailable

Details

Page Title

Social Security Tax 2025 Limit - A John Paige

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(55%)

Domain Information

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

Screenshot

Security scan screenshot of https://ajohnpaige.pages.dev/iyfdo-social-security-tax-2025-limit-sqgsh/

Page Load Overview

45.32s
Total Load Time
57
HTTP Requests
19
Domains
783 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:3,212 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
55%
government public service
35%
news/blog
30%
adult content
27%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.21.3.64United States
AS13335CLOUDFLARENET
395.179.245.162Frankfurt am Main, Hesse, Germany
AS20473AS-VULTR
3188.114.97.3United States
AS13335CLOUDFLARENET
3192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
3104.26.15.73United States
AS13335CLOUDFLARENET
3188.114.96.3United States
AS13335CLOUDFLARENET
3199.60.103.30United States
AS209242Cloudflare London, LLC
3216.58.206.42United States
AS15169GOOGLE
318.66.147.12United States
AS16509AMAZON-02
3172.67.166.38United States
AS13335CLOUDFLARENET
5717--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12F133B3390AC15773A1F53CDE692B71DF9AA6614CA034AB632FC20289B94DF540BB45F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:tO5sldZdapzvLTWZ3n5hNSdu8CJK5JuMMfxhhNaiNKPFnJc9sj3:tfapDLTWFn5hNSdu8CwQMAxhhNaiNKF5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42654:FARLZYABIovBEKESAAG4iIkCIB0mlS1TIiCQAqgyEQiSTZYQPgAcoGSAxqgEFnCADFGhIKAGBCqIl4qCQ4QXhjNG5UQCIhkH

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:00ffffc787879fff
Perceptual Hash:be434d3c63703c47
Difference Hash:31230e0f1f3f3f1f
Wavelet Hash:00ff878787878787
Color Hash:#933c1f

Scan History

Scan history not available

Unable to load historical scan data