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Security Scan Report: giuliayphillie.pages.dev

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Submitted: May 2, 2026, 8:08:50 AMCompleted: May 2, 2026, 8:10:01 AMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 13 domains to perform 25 HTTP transactions. The main domain is giuliayphillie.pages.dev and was registered NaN years ago.

Submitted URL: https://giuliayphillie.pages.dev/dzzakzo-social-security-max-2024-wages-photos-cpvngvb/

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

Moderate risk due to unknown subdomain age and obfuscated script, but no phishing or malware indicators.

Risk Factors
Unknown subdomain age
Unranked domain reputation
Obfuscated JavaScript code
Form present on a newly‑created subdomain
Safety Factors
No password, email, or payment fields in the form
No malicious Indicators of Compromise matched
No network IDS alerts
Content appears to be an informational article (og:type=article)
Domain age information unavailable

Details

Page Title

Social Security Max 2024 Wages - Nikki Marissa

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'giuliayphillie.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'giuliayphillie'. The core label 'pages' covers 5 characters with 2 vowels and three consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://giuliayphillie.pages.dev/dzzakzo-social-security-max-2024-wages-photos-cpvngvb/

Page Load Overview

2.07s
Total Load Time
29
HTTP Requests
14
Domains
1.2 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:2,524 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%
news/blog
60%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.40.135United States
AS13335Cloudflare, Inc.
2173.236.141.159United States
AS26347New Dream Network, LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
2172.67.75.176United States
AS13335Cloudflare, Inc.
2167.114.50.130Montreal, Quebec, Canada
AS16276OVH SAS
2108.138.26.109United States
AS16509Amazon.com, Inc.
2104.196.233.173The Dalles, Oregon, United States
AS396982Google LLC
2150.171.27.10United States
AS8075Microsoft Corporation
2172.240.108.76United States
AS7979Servers.com, Inc.
2172.66.1.220United States
AS13335Cloudflare, Inc.
2913--

Detected Technologies10

WordPressv6.5.5
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

T19CD25D37068D2D3B026653C1B039BE0EB96B1411C6A78898F6DF9C15E7C0EE294735EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2rdPazUJghpQZq/djCRN1yT51O2kTWPm/KzceJmOa7vDXMDcz16CGAeEJF:HTQZ2151vFmC4eJmLQDc0CReEJF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29314:cwQRCEp0hyohIAZLIyCjUU1mQkLAFkKGZlqgARQDAGhbxGhEbCREcBI0FjKD1XZfmGEDShDuKK4IIgGUrB5X6gIOlEUARqPa

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:cfc7c3c3c3c3c3cf
Perceptual Hash:b09193c593cdc7c6
Difference Hash:981e06160616061c
Wavelet Hash:4e83c3c3c3c3c3c7
Color Hash:#3a7778

Other Hashes

Crop Resistant:981e06160616061c

Scan History

Scan history not available

Unable to load historical scan data