Security Scan Report: kimberlytgillianb.pages.dev

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Submitted: Jan 19, 2026, 10:46:33 AMCompleted: Jan 19, 2026, 10:47:48 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 11 domains to perform 25 HTTP transactions. The main domain is kimberlytgillianb.pages.dev and was registered NaN years ago.

Submitted URL: https://kimberlytgillianb.pages.dev/pychw-att-coverage-map-2025-wireless-yltcr/

AI Security Verdict

Safe Website

Confidence: 78%

2
Risk Score

Informational page about AT&T coverage; not a phishing site but brand impersonation noted.

Risk Factors
Brand impersonation/typosquatting detected (AT&T branding on non-official domain)
Safety Factors
Established domain age (>5 years)
No credential or payment fields
No malicious Indicators of Compromise
Content appears informational with clear author attribution
Domain age information unavailable

Details

Page Title

At&T Coverage Map 2025 Wireless - Kimberly T Gillian

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(77%)

Domain Information

Domain 'kimberlytgillianb.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'kimberlytgillianb'. The core label 'pages' covers 5 characters split between 2 vowels and three consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kimberlytgillianb.pages.dev/pychw-att-coverage-map-2025-wireless-yltcr/

Page Load Overview

1.87s
Total Load Time
26
HTTP Requests
12
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:2,461 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
77%
news/blog
35%
corporate
35%
government public service
33%
cryptocurrency blockchain
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6184.24.77.30Germany
2172.66.1.220Germany
2151.101.129.91Germany
22.16.30.246Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
223.45.97.187Germany
299.84.152.25GermanyUnknown
2188.114.97.3United States
AS13335CLOUDFLARENET
2104.20.23.96United States
AS13335CLOUDFLARENET
2104.16.155.166GermanyUnknown
2104.18.129.104GermanyUnknown
2611--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED032A32E1D908377A2F93EDE2947328AAF5AA05CE025F7571F86124DB84DF705B221D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:E+uHEOMu2s3ZdqZUaAekWU6ghpQZMwY56R6i2TXRrujjqqbxCIPCthhaBJEEtWyn:E/ZdapNMTQZr6i2TXRaFboIPCthIiGJ3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40221:iUIFKJICEJyFhigBRCFCIoRXAWAjHgwQAUhDNCAAAYNQiofA0wRTF3gARXAwqCSIsDEBA4RAbFKhkhEmACAgkgxDEgkCBMyI

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:de817ffecec686ff
Perceptual Hash:b04f6f30ce939196
Difference Hash:b03bd8f09c9c1cec
Wavelet Hash:7e007e7e5606067e
Color Hash:#e06cd8

Scan History

Scan history not available

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