Security Scan Report: robiox.netlify.app

Redirected to:
https://robiox.netlify.app/
Submitted: Jul 9, 2026, 5:50:42 PMCompleted: Jul 9, 2026, 5:52:01 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is robiox.netlify.app and was registered NaN years ago.

Submitted URL: http://robiox.netlify.app

Effective URL: https://robiox.netlify.app/Redirected

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(25%)

Domain Information

Within the application-focused generic top-level domain (.app), 'robiox.netlify.app' is registered and includes subdomain 'robiox'. The second-level label 'netlify' is 7 characters long containing two vowels alongside five consonants. Segmentation suggests three words: net, li, fy. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://robiox.netlify.app

Page Load Overview

0.20s
Total Load Time
3
HTTP Requests
1
Domains
3 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:312 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical25% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC6162A9C41A203F6D97681F13A4CA4D60297507DC9157D8FFAA53ACD2DBAF305D2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXt:nGHwyA2qlRYZJ3RoXI1+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3212:AAQAQARQIAEAACEBIACEICAAAIAAAQQJwAggRgAQACYAICEEgAAWABAAIAQQAAAgACAAAQgAAAAAAAEIsAgBAAAAAMQACECC

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:0000080c0c080000
Wavelet Hash:fcfce4e4e4e4c0c0
Color Hash:#bf9b40

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data