Security Scan Report: thorntonsmaya.pages.dev

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Submitted: Jan 12, 2026, 7:13:27 AMCompleted: Jan 12, 2026, 7:14:53 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 7 domains to perform 26 HTTP transactions. The main domain is thorntonsmaya.pages.dev and was registered NaN years ago.

Submitted URL: https://thorntonsmaya.pages.dev/kjnug-att-new-samsung-phone-2025-klvgg/

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

Site impersonates major brands on an unrelated domain; moderate risk, no credential collection.

Risk Factors
Brand impersonation on a non‑official domain
Use of well‑known brand names without authorization
Safety Factors
Domain age is over 5 years (well‑established)
No password, email/username, or payment fields in the form
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Page Title

At&T New Samsung Phone 2025 - Thornton S Maya

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain 'thorntonsmaya.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'thorntonsmaya'. The second-level label 'pages' is 5 characters long with two vowels and 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://thorntonsmaya.pages.dev/kjnug-att-new-samsung-phone-2025-klvgg/

Page Load Overview

9.70s
Total Load Time
27
HTTP Requests
8
Domains
511 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:4,533 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%
news/blog
60%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.67.166.38United States
AS13335CLOUDFLARENET
3172.66.44.128United States
AS13335CLOUDFLARENET
33.174.46.44United States
3150.171.27.10United States
3104.20.23.96United States
AS13335CLOUDFLARENET
3142.251.141.86United StatesUnknown
3104.21.56.72United States
AS13335CLOUDFLARENET
277--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B13083266A405777B5A53ECE2E0731EB3A1EA10CA029EB1B0FDA1545F94DF3093396D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:b57xwZdapNMTWZICSO2y4ONVdIx6YRTF/AWtETFAlTJ3:b57x4apqTWSCSO2y4ONVdIx6YRTF/Aer

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42672:kyTETAj0KQG5zgJVACAMWBtA6BAqHhSBMhIACIITSHkGoagBygCYBS4AICQaNAOBVkgaBASFIhLLiIGQIBLC8sSJqApBCBgy

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:ff81ffff87878787
Perceptual Hash:b6c9c936c5c1c336
Difference Hash:b03bf09c2c2c2c2c
Wavelet Hash:7e007f7f07070707
Color Hash:#5e2dd2

Scan History

Scan history not available

Unable to load historical scan data