Security Scan Report: rbxgenr.netlify.app

Submitted: Jul 3, 2026, 9:52:14 AMCompleted: Jul 3, 2026, 9:53:49 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is rbxgenr.netlify.app and was registered NaN years ago.

Submitted URL: https://rbxgenr.netlify.app/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site is a Netlify 404 page with no malicious content or phishing elements.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain on a hosting platform with unknown creation date
Safety Factors
No credential or payment collection fields
No malicious scripts or obfuscation
No external links to suspicious sites
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain 'rbxgenr.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'rbxgenr'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus five consonants. Splitting it apart reveals three words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rbxgenr.netlify.app/

Page Load Overview

8.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:753 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
58%
adult content
51%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F96171A9C41A203F6C93681F13A4CA4D60297607DCA147D8FFEA53ACC2DBAF305C2428

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXR:TGHwyA2qlRYZJ3RoXIqa+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFE0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUACEAEQAQAAAiAEAAAACAIAAAAAARA

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:ffffe7e7e7e7ffff
Perceptual Hash:b364cc9b334c9933
Difference Hash:00000c0c0c080000
Wavelet Hash:fcfce4e403030f0f
Color Hash:#862d46

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data