Security Scan Report: rubinal-sock.netlify.app

Submitted: Nov 2, 2025, 12:45:46 AMCompleted: Nov 2, 2025, 12:48:47 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 14 HTTP transactions. The main domain is rubinal-sock.netlify.app.

Submitted URL: https://rubinal-sock.netlify.app/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Orange - Connexion Sécurisée

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'rubinal-sock.netlify.app' is registered and includes subdomain 'rubinal-sock'. The second-level label 'netlify' is 7 characters long holding two vowels versus 5 consonants. It segments into three words: net, li, fy. Average segment length settles at two characters. 'neto' is most common in Esperanto usage. You may catch it in Bosnian and Serbian as well.

Screenshot

Security scan screenshot of https://rubinal-sock.netlify.app/

Page Load Overview

0.95s
Total Load Time
14
HTTP Requests
1
Domains
224 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:507 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1435.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
563.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
32a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
32a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
144--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7E2C660701801396D2BE375BAC4676DE035F583ED934C64B24D0886DBC3FF56AAAFA4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:YsbMsnB7cxksc64Jysq7vlvbbobqxYpYUbr/dvCZM0o41:YsAXx/c64Jysq7vZvou

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32035:DwgACEgERiMJg2CEDNQBlAJQBINSAF5BCDMZAhWIRglpAUCUoqC5zEDZDMuUhBEcmIoBFGOCGh5EEBiSKIqEFobBaImokSwB

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:00fff3f3f3ffff00
Perceptual Hash:e4f413936cb26c6c
Difference Hash:8d081626260608d5
Wavelet Hash:00e6c2f2f3f3e600
Color Hash:#d27997

Scan History

Scan history not available

Unable to load historical scan data