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Security Scan Report: alvinaaalica.pages.dev

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Submitted: Nov 23, 2025, 7:37:44 AMCompleted: Nov 23, 2025, 7:38:48 AMpubliccompleted
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Summary

This website contacted 34 IPs in 2 countries across 15 domains to perform 41 HTTP transactions. The main domain is alvinaaalica.pages.dev.

Submitted URL: https://alvinaaalica.pages.dev/dmfiy-social-security-deposit-dates-2025-calendar-cplvb/

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Impersonates Social Security on a new, unranked domain – high risk phishing.

Risk Factors
Brand impersonation of a government agency on a non‑official domain
Unranked domain with no established reputation
Likely newly registered domain
Domain age information unavailable

Details

Page Title

Social Security Deposit Dates 2025 Calendar - Alvina A Alica

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(58%)

Domain Information

The domain name 'alvinaaalica.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'alvinaaalica'. Count 5 characters in 'pages' split between two vowels and 3 consonants. Segmentation suggests 1 word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://alvinaaalica.pages.dev/dmfiy-social-security-deposit-dates-2025-calendar-cplvb/

Page Load Overview

1.92s
Total Load Time
41
HTTP Requests
15
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:4,880 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
58%
healthcare medical
56%
news media journalism
54%
adult content
45%
finance banking
42%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18172.66.47.67United States
AS13335CLOUDFLARENET
5142.250.186.131United States
AS15169GOOGLE
4192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
4104.21.11.140United States
AS13335CLOUDFLARENET
2172.66.134.99United States
AS13335CLOUDFLARENET
1172.66.40.135United States
AS13335CLOUDFLARENET
145.223.102.78United States
AS19551INCAPSULA
1172.66.136.209United States
AS13335CLOUDFLARENET
1172.66.44.189United States
AS13335CLOUDFLARENET
1172.67.166.38United States
AS13335CLOUDFLARENET
4134--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C43E525C9B82C73642E53C4A171B72E9D93A507C6030E5935FCB6445B87DAB08BFACE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ecZdapN7X2/lT4Zi1XtINIcRQ/2PjZtPaL9FrmGDNtkPOl44m:esapYlT4s1Xtyo/2ZtyL/NtkPOlzm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59495:MlAnMeJAHQCFEkIjMCKRIhnTFTCAEAFQGYGMNibgOABkAZ2iXgUEBaIDYWAKCBkSHxWDZYKkcESgBnBMwjoAiibEQ2BEIEUy

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:ff00000000ffffef
Perceptual Hash:ba4fb0cd32cd9609
Difference Hash:d10571110f333a1f
Wavelet Hash:ff00000000ffffff
Color Hash:#c6d279

Other Hashes

Crop Resistant:d10571110f333a1f,0100017171011101,87cbd78d9a949494

Scan History

Scan history not available

Unable to load historical scan data