Security Scan Report: modeloccaz.ch

Redirected to: https://modeloccaz.ch/user/login

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Submitted: Jan 19, 2026, 12:38:33 AMCompleted: Jan 19, 2026, 12:39:12 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is modeloccaz.ch and was registered NaN years ago.

Submitted URL: https://modeloccaz.ch/bo_mgr-comments-other-listings

Effective URL: https://modeloccaz.ch/user/loginRedirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Connexion - Modeloccaz

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

blog personal website

(37%)

Domain Information

Within the Swiss country-code top-level domain (.ch), 'modeloccaz.ch' is registered with no subdomain. The second-level label 'modeloccaz' is 10 characters long with 4 vowels and 6 consonants. Word splitting yields 3 words: model, occ, az. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://modeloccaz.ch/bo_mgr-comments-other-listings

Page Load Overview

1.42s
Total Load Time
42
HTTP Requests
4
Domains
461 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-FR
Text Length:3,917 chars
Detector Agreement:75%

Website Classification

Primary Category

blog personal website37% confidence
Type: spa
Method: ml+structural

All Detected Categories

blog personal website
37%
social_media
25%
social media
15%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1280.74.154.82Switzerland
AS21069METANET AG
10142.250.186.131United States
AS15169GOOGLE
10142.251.141.138United States
AS15169GOOGLE
10104.17.25.14United States
AS13335CLOUDFLARENET
424--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162431B2FAAF50896152781E4B779B30EFA7BE107E249CC04B5EC46B40FC5DD894632AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+L+fzIRrZzxIHV1ThyQR77yBc72GdQva4FU:+L3RrZzxIHV1Thjh7yBc72GduFU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60376:YFgygRBOR0IwhaQAXB0EUAoRESiZmwla62gnzAZgIBQAKEXwYgVCMKIRZAgsCRARZHDyAWByhMKQ8UIhhAqEIAJJAfI4LYSU

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:ffffffffff008080
Perceptual Hash:f8877887837885f2
Difference Hash:322a0c0e08053109
Wavelet Hash:93e7ffffe7000000
Color Hash:#4093bf

Scan History

Scan history not available

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