ScanMalware.com

Security Scan Report: ethanncaitlin.pages.dev

Submitted: Mar 21, 2026, 8:34:21 PMCompleted: Mar 21, 2026, 8:35:45 PMpubliccompleted
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Summary

This website contacted 14 IPs in 1 country across 15 domains to perform 1 HTTP transaction. The main domain is ethanncaitlin.pages.dev and was registered NaN years ago.

Submitted URL: https://ethanncaitlin.pages.dev/vspsr-social-security-ssi-payment-schedule-2025-toyota-iwlom/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Brand content on a pages.dev subdomain with unknown age; no malicious activity detected but brand mismatch warrants moderate risk.

Risk Factors
Brand mismatch on free hosting platform (brand impersonation indicator)
Unknown subdomain creation date (potentially new domain)
Safety Factors
No malicious Indicators of Compromise matches found
No password, email, or payment fields in forms
No JavaScript malware patterns detected
No network IDS alerts
No compromised WordPress paths
Domain age information unavailable

Details

Page Title

Social Security Ssi Payment Schedule 2025 Toyota - Ethan N Caitlin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(53%)

Domain Information

You're looking at domain 'ethanncaitlin.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'ethanncaitlin'. The core label 'pages' covers 5 characters with 2 vowels and three consonants. Breaking it apart gives 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://ethanncaitlin.pages.dev/vspsr-social-security-ssi-payment-schedule-2025-toyota-iwlom/

Page Load Overview

13.91s
Total Load Time
38
HTTP Requests
16
Domains
1.9 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:4,185 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
53%
government public service
43%
corporate
35%
news media journalism
29%
healthcare medical
28%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12150.171.27.10United States
AS15169
2209.59.168.98United States
AS32244Liquid Web, L.L.C
2172.66.40.135United States
AS13335Cloudflare, Inc.
2104.21.11.140United States
AS2635
2188.114.96.3United States
AS13335Cloudflare, Inc.
2192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
2134.209.45.143Clifton, New Jersey, United States
AS14061DigitalOcean, LLC
2188.114.97.3United States
AS13335Cloudflare, Inc.
2173.236.141.159United States
AS26347New Dream Network, LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
3814--

Detected Technologies11

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv4.5.0
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE03183261A915373A9F83ECC1927718B958E621CB035FB671F87264AF81DF241B760E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:5GQOEONuXsC3ZdqZUaAekWVgh//l/WBgiVnDbC+ThbO55Q8iVBLqn6zThIiRl7b4:5fOWjZdapNiViVNqnmHsc6gV30kZM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38376:CB5ugBBhFmhiKKBAAiUjnoGBAh0gFIBCpq1gAAmEQAF0ZAsgAoKDImApV4IFYkJCYmKhJZBACRAezEFh2gDQ5FBAggJbjDwl

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:000000000dffffff
Perceptual Hash:ba4ab7e1304df8c1
Difference Hash:b36df11329283e3f
Wavelet Hash:00000000ffffffff
Color Hash:#bf4f40

Other Hashes

Crop Resistant:b36df11329283e3f,b1b175dc73336b73

Scan History

Scan history not available

Unable to load historical scan data