Security Scan Report: test-3bx.pages.dev

Submitted: Jul 22, 2026, 10:26:10 PMCompleted: Jul 22, 2026, 10:27:36 PMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 1 HTTP transaction. The main domain is test-3bx.pages.dev and was registered NaN years ago.

Submitted URL: https://test-3bx.pages.dev/location/melbourne/

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site is a newly‑created subdomain on a hosting platform with an email subscription form but no credential or payment collection; lacking concrete malicious signals, it is assessed as moderate risk.

Risk Factors
Unknown subdomain age
Unranked domain
Email collection form on unknown-age subdomain
Safety Factors
No password or payment fields
No malicious JavaScript or exfiltration behavior
No threat‑intel or IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Melbourne | Site Name

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(95%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'test-3bx.pages.dev' is registered, featuring subdomain 'test-3bx'. The core label 'pages' covers 5 characters with two vowels and 3 consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://test-3bx.pages.dev/location/melbourne/

Page Load Overview

1.16s
Total Load Time
20
HTTP Requests
7
Domains
603 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
Text Length:1,062 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
95%
adult content
93%
entertainment media
77%
news media journalism
55%
cryptocurrency blockchain
52%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.110.95Google · CDNUnited States
AS15169Google LLC
4104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.97Google · CDNUnited States
AS15169Google LLC
205--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19AA2F950B6F912AA608783F6B5307B31FD86915BD717C849B3FC46556FC3D0A8D8328A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:a7KlTn1W+nXWxKDDr4ZVvVX2y07lBnyhYBzwbHS:QKlZWC/r4ZxVX2TJBnyhAwby

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22107:HUIQyaDMRBAgeAkZAtAAAAC0kgVJQoWxhgAQQiIBiYDAEwZADZmApPkKYVAB6yWoAiJABGMGmjqEoNIQiYk0QPAiMhagCRAk

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:ffc3c3d3c3ffe7ff
Perceptual Hash:ed799282cd92926d
Difference Hash:22160e36364c0e26
Wavelet Hash:fb8383c3c3ff0130
Color Hash:#6ce0a2

Scan History

Scan history not available

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