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Security Scan Report: vicentenorval.pages.dev

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Submitted: Dec 29, 2025, 1:03:17 PMCompleted: Dec 29, 2025, 1:04:30 PMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 13 domains to perform 31 HTTP transactions. The main domain is vicentenorval.pages.dev and was registered NaN years ago.

Submitted URL: https://vicentenorval.pages.dev/vcntjzul-social-security-payment-calendar-2025-nrvlikp/

AI Security Verdict

High Risk

Confidence: 95%

8
Risk Score

Site is high‑risk phishing; report and do not provide any personal information.

Risk Factors
Malicious Indicators of Compromise match on primary domain
Brand impersonation of Social Security on an unranked domain
Unranked/low‑reputation domain claiming official service
Data‑collection form without clear purpose
Domain age information unavailable

Details

Page Title

Social Security Payment Calendar 2025 - Vicente Norval

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(52%)

Domain Information

Domain 'vicentenorval.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'vicentenorval'. The core label 'pages' covers 5 characters holding 2 vowels versus three consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vicentenorval.pages.dev/vcntjzul-social-security-payment-calendar-2025-nrvlikp/

Page Load Overview

7.05s
Total Load Time
39
HTTP Requests
13
Domains
942 KB
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:2,036 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
52%
government public service
51%
adult content
43%
healthcare medical
35%
entertainment media
29%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.16.132.24United States
AS13335CLOUDFLARENET
475.101.236.223Ashburn, Virginia, United States
AS14618AMAZON-AES
4216.150.1.65United States
AS16509AMAZON-02
467.227.189.78United States
AS32244LIQUIDWEB
43.174.46.118United StatesUnknown
4172.66.169.241United States
AS13335CLOUDFLARENET
4172.66.47.21United States
AS13335CLOUDFLARENET
4104.20.23.96United States
AS13335CLOUDFLARENET
398--

Detected Technologies12

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv6.4.3
100%
PHP
50%
OWL Carousel
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

T15E43EAA65085213A6D1B97A693CC261CE538DE32CE035E6A76BE211C5FC1FF5139322F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OMVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIx2apjgF+pmX+LyKm3mDFyOGYg:i5m33mDFyOGJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57051:BiAbDlEGCw4wpoLMwwjaEYS/xwgmAFUBmTUMEQWKktraYUU4NRqwKQyEDCpAIkACQCIGGMJlGRxENpyCCFYUYUgRkQWRpCMD

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:0000ffcfcfcfcfcf
Perceptual Hash:be49421636a7e1e9
Difference Hash:8c13332f2f2f2f2f
Wavelet Hash:0000db8fcfc7c7c7
Color Hash:#e08f6c

Other Hashes

Crop Resistant:8c13332f2f2f2f2f,0101819c9c835001

Scan History

Scan history not available

Unable to load historical scan data