Security Scan Report: bikester.fr

Redirected to: https://www.bikester.fr/

Submitted: Mar 16, 2026, 8:11:42 PMCompleted: Mar 16, 2026, 8:12:54 PMpubliccompleted
Loading additional data...

Summary

This website contacted 21 IPs in 5 countries across 22 domains to perform 1 HTTP transaction. The main domain is bikester.fr and was registered NaN years ago.

Submitted URL: https://bikester.fr

Effective URL: https://www.bikester.fr/Redirected

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate e‑commerce site; no security threats detected.

Safety Factors
Long‑standing domain with stable registration
Consistent branding between domain and meta tags
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise or IDS alerts
Standard third‑party services (Klaviyo, Shopify CDN) only
Domain age information unavailable

Details

Page Title

Boutique en ligne vélo, matériel, équipement | bikester.fr

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

e-commerce shopping

(79%)

Domain Information

You're looking at domain 'bikester.fr' on the French country-code top-level domain (.fr) while skipping any subdomain. Its registrable label 'bikester' stretches across 8 characters split between three vowels and five consonants. Splitting it apart reveals two words: bikes, ter. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bikester.fr

Page Load Overview

7.61s
Total Load Time
320
HTTP Requests
31
Domains
3.4 MB
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:43,066 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping79% confidence
Type: webapp
Method: ml+structural

All Detected Categories

e-commerce shopping
79%
finance banking
53%
education learning
51%
technology software
42%
documentation technical
29%

Detected Features

Search
Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1518.245.46.125United States
AS16509Amazon.com, Inc.
1534.120.87.25Sweden
15185.146.173.20Sweden
AS13335Cloudflare, Inc.
15188.114.97.3United States
AS13335Cloudflare, Inc.
1523.227.38.74Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
153.171.211.97UnknownUnknown
1523.227.38.65Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
1513.107.246.44UnknownUnknown
1513.33.187.16UnknownUnknown
32021--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149152B2060AD103B593342DABA52AB16F3F58213D27786507EED4B5C8F87F4A097396F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:Tr3VlXsxmAm2WfM0XENJ2FviAoPxC/bPFVC/bqC/bHC/bWU5KC/b/C/boC/bVEmG:Tr3Vaxv+fM0XWS+Oeu+eEM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:884514:RAIRhFyAi45aQHwEgyEDgFQyhQQqsGUEUGlQYRaiAIEBwXl0QCNwICRCQAKgCCCQ7AhkklQQXowIsgi5AFMdjYNcCMYCYhCp

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:ffc3000000ffffff
Perceptual Hash:b831afce46b3494c
Difference Hash:279a9b9df0612a63
Wavelet Hash:ff00000000ffffff
Color Hash:#e06cac

Scan History

Scan history not available

Unable to load historical scan data