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Security Scan Report: tylerlazenbys.pages.dev

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Submitted: Dec 27, 2025, 10:22:51 AMCompleted: Dec 27, 2025, 10:23:07 AMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 16 domains to perform 24 HTTP transactions. The main domain is tylerlazenbys.pages.dev and was registered NaN years ago.

Submitted URL: https://tylerlazenbys.pages.dev/vqumj-social-security-pay-raise-in-2025-fuwvs/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Established domain age reduces risk
Absence of password, email, or payment fields
No external links or suspicious redirects
Domain age information unavailable

Details

Page Title

Social Security Pay Raise In 2025 - Tyler S. Lazenby

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(38%)

Domain Information

Domain 'tylerlazenbys.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'tylerlazenbys'. Its registrable label 'pages' stretches across 5 characters containing two vowels alongside 3 consonants. Word splitting yields one word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tylerlazenbys.pages.dev/vqumj-social-security-pay-raise-in-2025-fuwvs/

Page Load Overview

3.64s
Total Load Time
26
HTTP Requests
16
Domains
2.4 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:3,945 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
38%
corporate
35%
adult content
28%
healthcare medical
26%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.3United States
AS13335CLOUDFLARENET
22.18.64.197Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2146.75.120.200Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2142.251.141.86Germany
AS20940
2172.66.169.241United States
AS13335CLOUDFLARENET
2172.240.127.244Germany
AS13335
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
218.66.122.19GermanyUnknown
2146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2104.20.23.96United States
AS13335CLOUDFLARENET
2613--

Detected Technologies7

WordPressv6.5.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15EF22A22519D04773E4FC3DD41A57328A8AAEA10DA024F7271F5B168AF84DFB01BB55E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:B8N2yzzZdapFHOEmmI7fCk/G9XsDFsZCI9nGiftXJLZXX:B8N2yapt/mmI7fC39XsBsZCI9nbftXJ1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35802:IgvgyKkQBIAGXCpZiSRYrU6QRAkMgqCwWCHDAAABAAKjSCwrXKACkwiDo1xCRYEJEgt4BGhEgUSG5gLDQAIAHzhAmBJBkBDF

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:ffffdfffff878787
Perceptual Hash:b6c93632cf303cc9
Difference Hash:2214362c2c2d2c2c
Wavelet Hash:dfbf838307070703
Color Hash:#e06cd4

Other Hashes

Crop Resistant:2214362c2c2d2c2c,e4e03080700540d4

Scan History

Scan history not available

Unable to load historical scan data