Security Scan Report: eventhub.net

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Submitted: Oct 11, 2025, 2:03:39 PMCompleted: Oct 11, 2025, 2:04:44 PMpubliccompleted
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Summary

This website contacted 81 IPs in 3 countries across 19 domains to perform 61 HTTP transactions. The main domain is eventhub.net and was registered NaN years ago.

Submitted URL: https://eventhub.net/events/Queen-Bee-Half-Marathon-2024_6000

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate event page with no security concerns.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Queen Bee Half Marathon 2024 | EventHub Showcase

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'eventhub.net' on the network infrastructure generic top-level domain (.net) while skipping any subdomain. Count 8 characters in 'eventhub' with three vowels and 5 consonants. Word splitting yields two words: event, hub. Median word length comes out to 4 characters. 'evet' most often appears in Turkish. Secondary signals appear in English and Chinese (Pinyin).

Screenshot

Security scan screenshot of https://eventhub.net/events/Queen-Bee-Half-Marathon-2024_6000

Page Load Overview

17.93s
Total Load Time
61
HTTP Requests
19
Domains
7.6 MB
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:3,638 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
61142.250.186.42United States
AS15169GOOGLE
0157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0216.198.54.6United States
AS209242Cloudflare London, LLC
0104.26.12.166United States
AS13335CLOUDFLARENET
0216.198.54.3United States
AS209242Cloudflare London, LLC
03.171.214.123United States
AS16509AMAZON-02
0216.239.34.36United States
AS15169GOOGLE
0142.250.185.232United States
AS15169GOOGLE
018.209.79.176Ashburn, Virginia, United States
AS14618AMAZON-AES
0216.58.206.46United States
AS15169GOOGLE
6181--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E433AE5616050F6100B8FC0E9717B72D0AB64BBEF439988F2EC84A1FB86DE5CD85D94

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:hnckFLM/hsvTN/7VW6Bk0K8nj8iycMRo3fFgGx/w2RV:hnckFHrW6KmDrx/wo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60437:NUKIp8CBKMLAr6eBMEKKGoAAhgJAHQCBOE4qAEaDOCXDMwKwUCIIEYA4pTAhG4OkAQ17K4gMEGyEEE6BgzGGkV4PA3EEFAEw

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:ff8181818183ffff
Perceptual Hash:ae6b90c5c19c2b3b
Difference Hash:432b1b232b4f2caf
Wavelet Hash:ff81818181819fff
Color Hash:#c1e06c

Scan History

Scan history not available

Unable to load historical scan data