Security Scan Report: nissebroxana.pages.dev

Submitted: Jan 26, 2026, 1:33:28 PMCompleted: Jan 26, 2026, 1:34:41 PMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 14 domains to perform 1 HTTP transaction. The main domain is nissebroxana.pages.dev and was registered NaN years ago.

Submitted URL: https://nissebroxana.pages.dev/daixhhi-social-security-limit-2024-increases-in-india-photos-yqlhvtk/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Informational blog post with no phishing or malware indicators.

Safety Factors
Informational blog content about Social Security limits
No forms collecting sensitive data (email, password, payment)
Hosted on a standard static site platform (pages.dev)
No redirects or URL manipulation detected
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

Social Security Limit 2024 Increases In India - Joly Thomasa

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(47%)

Domain Information

You're looking at domain 'nissebroxana.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'nissebroxana'. The second-level label 'pages' is 5 characters long containing two vowels alongside 3 consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nissebroxana.pages.dev/daixhhi-social-security-limit-2024-increases-in-india-photos-yqlhvtk/

Page Load Overview

3.61s
Total Load Time
51
HTTP Requests
15
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:3,431 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical47% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
47%
government public service
44%
corporate
35%
news/blog
30%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12167.114.50.130Montreal, Quebec, Canada
AS16276OVH SAS
3176.9.114.118Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
374.125.29.95United States
AS15169Google LLC
3104.26.5.18United States
AS13335Cloudflare, Inc.
3142.251.141.150Unknown
3108.138.26.64Unknown
3172.66.1.220United States
AS13335Cloudflare, Inc.
3188.114.96.3United States
AS13335Cloudflare, Inc.
3172.240.127.243UnknownUnknown
3150.171.28.10United States
AS8075Microsoft Corporation
5114--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DF231832808D1E33761A53D9D521B71DA49E9A30CA139AA672FF702C5BD4FF5422329F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lRQ/RZdapFUJufT4Zsza2gEumCQoPOMRrUppDeAJHU0hn+:lRQ/RaprfT46za2gEZCQ/MxMDeAJHU0E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47213:TYDOoRDEJUzYNQco4IMcSJACM7ABAHIDSZICCWWBAEiAkkaAYDFFHw8jQFCmBs1ADIEAAEjJk5oETUIhyk+YgKOeUMBHuLgg

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:00000000ffffffff
Perceptual Hash:be41b2c16059bbd3
Difference Hash:c1a53b37a5382f2f
Wavelet Hash:00000000ffffffff
Color Hash:#8787c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data