Security Scan Report: www.hellotickets.fr

Site favicon
Submitted: Nov 2, 2025, 5:40:52 PMCompleted: Nov 2, 2025, 5:42:19 PMpubliccompleted
Loading additional data...

Summary

This website contacted 77 IPs in 5 countries across 25 domains to perform 73 HTTP transactions. The main domain is hellotickets.fr and was registered NaN years ago.

Submitted URL: https://www.hellotickets.fr/billets-fc-barcelona-vs-elche-cf/m-6452

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Legitimate ticket reseller with no apparent security risks.

Safety Factors
Long‑standing domain registration (over 7 years)
Absence of password, login, or payment fields
No external links to suspicious domains
Content appears to be a standard ticket‑sale page
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by access_denied bot protection. Our scanner was challenged or blocked during access.

Page Title

Billets FC Barcelona vs Elche CF - Hellotickets

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'www.hellotickets.fr' uses the French country-code top-level domain (.fr) and includes subdomain 'www'. The second-level label 'hellotickets' is 12 characters long holding four vowels versus 8 consonants. Splitting it apart reveals 2 words: hello, tickets. Median word length comes out to six characters. 'hello' most strongly signals English. Usage also turns up in Chinese (Pinyin) and Tagalog contexts. Taken together, it feels English.

Screenshot

Security scan screenshot of https://www.hellotickets.fr/billets-fc-barcelona-vs-elche-cf/m-6452

Page Load Overview

33.04s
Total Load Time
73
HTTP Requests
25
Domains
796 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:4,394 chars
Detector Agreement:60%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
73142.250.181.227United States
AS15169GOOGLE
0148.113.163.172Canada
AS16276OVH SAS
0151.101.130.133San Francisco, California, United States
AS54113FASTLY
044.241.11.217Boardman, Oregon, United States
AS16509AMAZON-02
0188.114.97.3United States
AS13335CLOUDFLARENET
02.19.224.32Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
0157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0216.239.34.36United States
AS15169GOOGLE
034.107.226.122Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
020.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7377--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13AE3F7716604C1BA62A7C7EA76755E1F61EBF32BE1430888B7FC53440BC3CFA6A55848

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:F9JTpdddddddvdddddddaddddddde7pcWWF:FbpdddddddvdddddddadddddddJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:153216:AHYAAAaOFIWIGDkgAoCQAMhcTSPQTOB0AzAwChgpAImswTAJwQdAJACBgnAIkJYgATY4AINGuEDkCgAcFCECVDgTQEEIIQ0U

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:10d1f1fffffffffc
Perceptual Hash:ed6d5a1616164d4d
Difference Hash:e43333262f262d79
Wavelet Hash:008191ffd7d7d708
Color Hash:#c5879e

Scan History

Scan history not available

Unable to load historical scan data