Security Scan Report: bettiealeej.pages.dev

Submitted: Jan 10, 2026, 5:56:06 PMCompleted: Jan 10, 2026, 5:57:25 PMpubliccompleted
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Summary

This website contacted 14 IPs in 4 countries across 17 domains to perform 1 HTTP transaction. The main domain is bettiealeej.pages.dev and was registered NaN years ago.

Submitted URL: https://bettiealeej.pages.dev/ucasi-social-security-raise-for-2025-increased-vertaling-agqzm/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Established domain age (>5 years)
No malicious Indicators of Compromise detected
No forms collecting sensitive data
No brand impersonation or trademark misuse
Standard hosting without suspicious redirects
Domain age information unavailable

Details

Page Title

Social Security Raise For 2025 Increased Vertaling - Bettie A Lee

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(73%)

Domain Information

The domain 'bettiealeej.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'bettiealeej'. The second-level label 'pages' is 5 characters long split between 2 vowels and 3 consonants. Segmentation suggests one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bettiealeej.pages.dev/ucasi-social-security-raise-for-2025-increased-vertaling-agqzm/

Page Load Overview

4.57s
Total Load Time
42
HTTP Requests
18
Domains
632 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:3,355 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
73%
adult content
68%
healthcare medical
59%
news media journalism
55%
finance banking
53%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.67.180.98United States
AS13335CLOUDFLARENET
318.66.102.99Germany
3216.58.206.86Spain
3142.251.13.94United States
AS15169GOOGLE
382.98.157.73Madrid, Madrid, Spain
AS42612DinaHosting S.L.
3172.66.46.249United States
AS13335CLOUDFLARENET
391.108.107.115Mumbai, Maharashtra, India
AS47583Hostinger International Limited
3188.114.96.3UnknownUnknown
392.113.23.186Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
3150.171.27.10UnknownUnknown
4214--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF132A32A1E814373A1F83DED565731DE8A9A714C6035B6AB1FC6028AF84DF601B764E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:I+9pB65ZdapS+zkSTIZ/bOLbHrKuAjpOsdBbAK93Jy4W5:I+9pBEaptTIVbMb7AjksdBbAK93Jy4W5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42652:WiKIFkYZVDJQqlDBRTAqkBQQKEUuyqZAiY8ocRipgyQaAHGMoFCCERzCBjYIoigQAQxBDM7AkwBEEDeoMiBsgFAgwhrgFCQp

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:ff0000ffffc787c7
Perceptual Hash:bb4d3cbcc4b282b2
Difference Hash:626249592f0e3f1f
Wavelet Hash:ba0000fdff878787
Color Hash:#3a7864

Scan History

Scan history not available

Unable to load historical scan data