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LIMITED DATA

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Security Scan Report: www.bochcenter.org

Submitted: Nov 19, 2025, 3:34:53 AMCompleted: Nov 19, 2025, 3:36:46 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 bochcenter.org and was registered NaN years ago.

Submitted URL: https://www.bochcenter.org/events/detail/derekhough

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no suspicious activity and appears legitimate.

Safety Factors
Established domain (>9 years old)
No forms collecting sensitive data
No Indicators of Compromise detected
Content appears to be a legitimate event listing
Domain age information unavailable

Details

Page Title

Derek Hough - Symphony of Dance: Encore | Boch Center

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.bochcenter.org' is registered and includes subdomain 'www'. Count 10 characters in 'bochcenter' split between three vowels and 7 consonants. Segmentation suggests three words: b, och, center. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bochcenter.org/events/detail/derekhough

Page Load Overview

30.14s
Total Load Time
3
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:750 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
60%
adult content
55%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BCC4F1614DE5283E82134391A271BB1E38AB603BDBC11C5D74EF469BBFD2D51880F6AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:iPWnvLk1bdlCNTKKf9Bre6Cta7WbSZXSZKPWnvLk1bdlCNTKKf9Bre6Cta7/x2:iPWn41KNRfDa5GPWn41KNRfDa5kx2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:551517:EGB0CYKyBBoAqEhbnQ4ADAHBGAAtKPiRe4mscJAhGHItK2QkMlQiABFASliBwDRBQgUJEhSIjQBAKAIE5cE0QFCRojoNAAFC

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:ff00001111d3ffff
Perceptual Hash:a912d3ad8cd1f645
Difference Hash:c8d1d1f323233222
Wavelet Hash:ff00001111d3fbff
Color Hash:#9479d2

Scan History

Scan history not available

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