Security Scan Report: kaiahjkraynell.pages.dev

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Submitted: Dec 16, 2025, 12:57:05 AMCompleted: Dec 16, 2025, 12:57:41 AMpubliccompleted
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Summary

This website contacted 38 IPs in 2 countries across 16 domains to perform 37 HTTP transactions. The main domain is kaiahjkraynell.pages.dev and was registered NaN years ago.

Submitted URL: https://kaiahjkraynell.pages.dev/jonqiqn-social-security-max-2024-contribution-of-images-xpqzjdm/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate informational page with no apparent security threats.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Social Security Max 2024 Contribution Of - Judie Marcela

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(52%)

Domain Information

Domain 'kaiahjkraynell.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'kaiahjkraynell'. Count 5 characters in 'pages' containing 2 vowels alongside 3 consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kaiahjkraynell.pages.dev/jonqiqn-social-security-max-2024-contribution-of-images-xpqzjdm/

Page Load Overview

8.75s
Total Load Time
37
HTTP Requests
16
Domains
3.0 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:2,992 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
52%
government public service
51%
forum community discussion
44%
adult content
34%
news/blog
30%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3744.241.150.31Boardman, Oregon, United States
AS16509AMAZON-02
0172.240.127.234United States
AS7979SERVERS-COM
02.16.241.216Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
08.47.69.0United States
AS13335CLOUDFLARENET
052.57.221.121Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0198.54.120.199United States
AS22612NAMECHEAP-NET
0172.240.127.242United States
AS7979SERVERS-COM
0172.66.45.14United States
AS13335CLOUDFLARENET
0192.249.125.21United States
AS22611INMOTION
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3738--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7333A32909812737E1B83A8E1E9F618A5B8EE09C5035BBA75FC64146BC8DF6047359F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Tn5HZdapzJ9ft6ZB6dhnJQ/QUd5kST+ZNtrXtiW8esZqGeOJV:TnZapbAuRJQ/QcT+n9XtiWqZqGeOJV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52430:YGAkwQAgIHuDDQ1UAQUMIAaEBaLGgA/gaTFAEvMoBgBZgGZZ8ADL0mUFBoBBBi4AGg+AQAUiMNDACEIBUpDUDB0YoAMCGEAM

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:ffffffffcfc7c7c3
Perceptual Hash:b0cf3236cd3132cd
Difference Hash:0c0c0e1a1a0f1f1f
Wavelet Hash:e6e7c7c3c3838381
Color Hash:#78473a

Other Hashes

Crop Resistant:0c0c0e1a1a0f1f1f

Scan History

Scan history not available

Unable to load historical scan data