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Security Scan Report: nataytiffany.pages.dev

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Submitted: Dec 9, 2025, 4:29:25 AMCompleted: Dec 9, 2025, 4:29:47 AMpubliccompleted
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Summary

This website contacted 70 IPs in 2 countries across 15 domains to perform 46 HTTP transactions. The main domain is nataytiffany.pages.dev.

Submitted URL: https://nataytiffany.pages.dev/speqtjd-social-security-max-2024-payment-increase-images-biascxg/

AI Security Verdict

Low Risk

Confidence: 80%

1
Risk Score

Informational site with no evident malicious activity.

Safety Factors
Page provides informational content about Social Security benefits
No suspicious forms or redirects detected
Domain age information unavailable

Details

Page Title

Social Security Max 2024 Payment Increase - Tonia Griselda

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

The domain 'nataytiffany.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'nataytiffany'. Count 5 characters in 'pages' holding 2 vowels versus 3 consonants. Word splitting yields one word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nataytiffany.pages.dev/speqtjd-social-security-max-2024-payment-increase-images-biascxg/

Page Load Overview

6.53s
Total Load Time
46
HTTP Requests
15
Domains
1.0 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:3,547 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
35%
government public service
28%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46142.250.185.227United States
AS15169GOOGLE
0172.240.127.242United States
AS7979SERVERS-COM
0188.114.96.3United States
AS13335CLOUDFLARENET
0104.198.108.103The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
0172.66.40.135United States
AS13335CLOUDFLARENET
0172.66.43.121United States
AS13335CLOUDFLARENET
0104.26.15.73United States
AS13335CLOUDFLARENET
0192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
0104.18.19.5United States
AS13335CLOUDFLARENET
0150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4670--

Detected Technologies7

WordPressv6.6.2
100%
Open-Graph-Protocolvarticle
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

T1D173299365952136590797D5A2CC7A1CAA759A12CF034EA972BC210CEFC1FF913A332F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:EMVM6MVM+MVMfMVMnMVMsMVMUMVMvsptI86bz6b6B63apzT+NHflxsU4q79nqkEc:QNZTdrk9i4wJtjXtM7MBSVdn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75563:jR1BcUkUAkECABUEUBIA+EMhRIoEiACAAIADEkkjriAURQMIgA6hQMRIwcDKxKCuEAcTZpaAAApjjuNSoASGBgEiGAEkAOCH

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:e7ffcfcb83878787
Perceptual Hash:bcc3c336e131c33a
Difference Hash:0c41393b2f2f2f3e
Wavelet Hash:e7ff858383838383
Color Hash:#7753ac

Other Hashes

Crop Resistant:0c41393b2f2f2f3e

Scan History

Scan history not available

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