ScanMalware.com

Security Scan Report: edwardelionel.pages.dev

Submitted: Dec 20, 2025, 4:47:09 AMCompleted: Dec 20, 2025, 4:47:40 AMpubliccompleted
Loading additional data...

Summary

This website contacted 17 IPs in 3 countries across 16 domains to perform 40 HTTP transactions. The main domain is edwardelionel.pages.dev and was registered NaN years ago.

Submitted URL: https://edwardelionel.pages.dev/amdsf-social-security-tax-2025-max-income-qzkos/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Domain is older than 5 years
No known malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Social Security Tax 2025 Max Income - Edward E. Lionel

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(39%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'edwardelionel.pages.dev' is registered with subdomain 'edwardelionel'. The core label 'pages' covers 5 characters with two vowels and 3 consonants. Splitting it apart reveals 1 word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://edwardelionel.pages.dev/amdsf-social-security-tax-2025-max-income-qzkos/

Page Load Overview

8.10s
Total Load Time
40
HTTP Requests
16
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:3,254 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
39%
news/blog
30%
adult content
28%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.58.209.195United States
AS15169GOOGLE
2172.67.75.176United States
AS13335CLOUDFLARENET
2216.58.209.170United States
AS15169GOOGLE
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
218.165.122.18United States
AS16509AMAZON-02
2172.240.127.242United States
AS7979SERVERS-COM
2167.114.50.130Montreal, Quebec, Canada
AS16276OVH SAS
2104.198.108.103The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
2172.66.172.114United States
AS13335CLOUDFLARENET
2188.114.96.3United States
AS13335CLOUDFLARENET
4017--

Detected Technologies9

WordPressv6.7.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv6.7.1
100%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Drupal
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B03073245ED15373A1F93D8D1B1B31DE8AAA605CD035AAA36FC24689FC4EF280B715D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:/ILZdapz08v8kST+Z0d6rUi16WE/n25Olms5BXNrQ1GJbK:/6apqT+64Qi169ms5BXNrMGJbK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39484:zCVJhtBhS7UyrGCAQ4CkQ4K/aJAjZOAHAiwIkjINhJACisJwECGoV0ExBBQd6CAAAk37RIoDrYBLAgThz9ZGYEnABAcDS7cM

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:000000ffffffffff
Perceptual Hash:aa6a7885df87013b
Difference Hash:258595614de36531
Wavelet Hash:000000ff81ff5fff
Color Hash:#ac5384

Other Hashes

Crop Resistant:258595614de36531,41a1212181910101

Scan History

Scan history not available

Unable to load historical scan data