Security Scan Report: www.hellotickets.nl

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Submitted: Completed: publiccompleted
This website contacted 38 IPs in 4 countries across 29 domains to perform 83 HTTP transactions. The main domain is hellotickets.nl and was registered 9 years ago.

Submitted URL: https://www.hellotickets.nl/az-alkmaar-vs-juventus-fc-tickets/m-11930

The Cisco Umbrella rank of the primary domain is #468,308 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Established 9-year-old ticket marketplace (hellotickets.nl) showing its own brand, with no forms, no credential collection and no threat-intel, hunting rule or IDS hits. Secondary-market pricing applies, but nothing indicates fraud.

Safety Factors (6)
Well-established 9-year-old domain (registered 2016-11-22)
Site presents its own brand; domain matches title and meta tags
No credential, login or payment forms on the page
Clean threat intelligence, JavaScript hunting rule, kit-roster and IDS results
Third-party script hosts all ranked in the top-1M popularity list
Hidden links are benign country/language selectors relevant to the site's business
Domain age information unavailable

Details

Page Title

AZ Alkmaar vs Juventus FC Tickets - Hellotickets

Scan Type

public

Domain Name Analysis

The domain name 'www.hellotickets.nl' uses the Dutch country-code top-level domain (.nl); it also runs on subdomain 'www'. Its registrable label 'hellotickets' stretches across 12 characters split between 4 vowels and eight consonants. Segmentation suggests two words: hello, tickets. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.hellotickets.nl/az-alkmaar-vs-juventus-fc-tickets/m-11930

Page Load Overview

5.91s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:nl
Text Length:4,440 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software33% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
33%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.18.4.211Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.5.211Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.127.97Google · CDNUnited States
AS15169Google LLC
2146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2104.16.79.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
220.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
2150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
213.32.121.7Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
235.186.249.72Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8338--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CAC45D26EA04717A957787A57DF4EF8F31369316C2268D867AFC52180FC3CE438E6648

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:ajYGN2vQUChIIIIIIIoIIIIIIIeIIIIIIIo9SrlrX8v+lurgPhcrj6tB2ViTVX62:K+lu/gR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:577772:MTK4TE5ChEKkrQAhyASgRIFFErQxIg6ilADCDAnB24aoAZAOhUeFgCKHHYQwAQyAEERAoMAQFnNkYIidhECESFsAUYBIcIAC

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:00d1b1ffffffffbc
Perceptual Hash:ed6d4e1616164e4d
Difference Hash:e433333433323179
Wavelet Hash:008191dbdbdfdf04
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data