Security Scan Report: kyleaoterol.pages.dev

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Submitted: Nov 13, 2025, 6:47:12 PMCompleted: Nov 13, 2025, 6:48:10 PMpubliccompleted
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Summary

This website contacted 66 IPs in 2 countries across 14 domains to perform 45 HTTP transactions. The main domain is kyleaoterol.pages.dev.

Submitted URL: https://kyleaoterol.pages.dev/tnbas-social-security-scam-email-2025-ylapp/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate informational page with no apparent security threats.

Safety Factors
Informational content about a known scam
No sensitive data collection
Hosted on Cloudflare Pages (pages.dev) which is a standard static hosting service
Domain age information unavailable

Details

Page Title

Social Security Scam Email 2025 - Kyle A Otero

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(50%)

Domain Information

Domain 'kyleaoterol.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'kyleaoterol'. Count 5 characters in 'pages' holding two vowels versus 3 consonants. Word splitting yields 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kyleaoterol.pages.dev/tnbas-social-security-scam-email-2025-ylapp/

Page Load Overview

22.89s
Total Load Time
45
HTTP Requests
14
Domains
1.5 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:4,121 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
50%
social media network
43%
news media journalism
38%
news/blog
35%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4523.111.190.49Atlanta, Georgia, United States
AS29802HVC-AS
0150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0188.114.97.3United States
AS13335CLOUDFLARENET
0172.67.143.195United States
AS13335CLOUDFLARENET
023.36.162.145Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0104.21.18.46United States
AS13335CLOUDFLARENET
099.84.152.72United States
AS16509AMAZON-02
0172.67.180.98United States
AS13335CLOUDFLARENET
0216.58.206.54United States
AS15169GOOGLE
0172.67.75.109United States
AS13335CLOUDFLARENET
4566--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13753E8E6449921365D0B5B9A928C721CDA769921CF020E5A73BD550CAFC2FF913F322F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zMVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIPROkfapOT9iiXXRyHYctg0lR0SU+OL3:yQT/YQIJhHUuG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64703:wbYBocDBCj0psRQAgFEoEGDUOGooQqMRqAAAAFbLBDiGCJgPjBQlqEsoSE4CAGoQmOJHzRQFHJJpA2CBA436UGIhAgKCUKgF

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:000000ffffffb7bf
Perceptual Hash:ee4067b9931a5a53
Difference Hash:04462531532b6d6f
Wavelet Hash:000000f8ffbfb7b7
Color Hash:#d27992

Scan History

Scan history not available

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