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Security Scan Report: randrewtayla.pages.dev

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Submitted: Jan 10, 2026, 10:04:34 AMCompleted: Jan 10, 2026, 10:05:52 AMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 16 domains to perform 1 HTTP transaction. The main domain is randrewtayla.pages.dev and was registered NaN years ago.

Submitted URL: https://randrewtayla.pages.dev/ipoqs-social-security-increase-2025-estimate-chart-fabvv/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (>5 years)
No malicious Indicators of Compromise
No sensitive data collection forms
Domain age information unavailable

Details

Page Title

Social Security Increase 2025 Estimate Chart - R Andrew Tayla

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'randrewtayla.pages.dev' is registered with subdomain 'randrewtayla'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://randrewtayla.pages.dev/ipoqs-social-security-increase-2025-estimate-chart-fabvv/

Page Load Overview

7.44s
Total Load Time
31
HTTP Requests
16
Domains
1.3 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:3,591 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
70%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.67.167.124United States
AS13335CLOUDFLARENET
2104.26.1.31United States
AS13335CLOUDFLARENET
215.197.142.196United States
AS16509AMAZON-02
2150.171.28.10Unknown
AS13335
2104.26.2.214Unknown
AS16509
2146.75.122.62Frankfurt am Main, Hesse, Germany
AS54113FASTLY
218.66.122.19United States
AS16509AMAZON-02
2172.67.75.107UnknownUnknown
223.36.162.205Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2145.223.17.143Mumbai, Maharashtra, India
AS47583Hostinger International Limited
3114--

Detected Technologies10

WordPressv6.7.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
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

T16E234B32D2E804372E1F53EE9567B32CD99B5508D903077971F9A528AF84DFA42BB10E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qZAvwjZdapzoTWZZRywLv/i/+loceat4tzc4SA0ISJE:qZAvwjapsTWtywLv/Nlodat4tzc4SA/j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47539:AQCEBYNuQIIoYSEGTLQhQyCCJIQ2ZQQ4cWAhY4E5HEkGWAxegi6gyBNswQGAACDAUgQuGuID3RIACAuG3IBEVcIRCIlgQYTE

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:ffcbdbc7878787cf
Perceptual Hash:b4cdcd3292ce8ccc
Difference Hash:2236362c2c2c2c1a
Wavelet Hash:9f8a8b878387838f
Color Hash:#6a783a

Other Hashes

Crop Resistant:2236362c2c2c2c1a

Scan History

Scan history not available

Unable to load historical scan data