Security Scan Report: www.cubebikes.fr

Submitted: Feb 9, 2026, 8:01:12 AMCompleted: Feb 9, 2026, 8:02:41 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is cubebikes.fr and was registered NaN years ago.

Submitted URL: https://www.cubebikes.fr/partenaire/1_ambassadeurs-julia-simon.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well‑established domain (>10 years old)
No credential or payment forms present
No malicious Indicators of Compromise detected
No malware or suspicious scripts detected
Domain age information unavailable

Details

Page Title

www.cubebikes.fr

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(57%)

Domain Information

Domain 'www.cubebikes.fr' uses the French country-code top-level domain (.fr) with subdomain 'www'. Count 9 characters in 'cubebikes' split between four vowels and five consonants. It segments into two words: cube, bikes. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.cubebikes.fr/partenaire/1_ambassadeurs-julia-simon.html

Page Load Overview

8.14s
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:462 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content57% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
57%
documentation technical
49%
technology software
44%
government public service
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
157.128.84.19France
AS16276OVH SAS
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E7048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:vfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8Oldd:whoC9JSqzzbs6o3Sj3gcrsK2eA/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184597:FxCAERAOISARm4j5NlwNFYIgiDJ+EGEQA+ROTEQKsACQBhCvJCCGoWPoAeQCAnABQRlGASG5CCwAIAcAGUBAIDYV8GyImioE

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc733363
Difference Hash:00181c1c00000000
Wavelet Hash:fcdcc0c4f0f0f0f0
Color Hash:#692dd2

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data