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Security Scan Report: www.curzon.com

Submitted: Nov 18, 2025, 5:57:27 AMCompleted: Nov 18, 2025, 6:01:01 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 2 domains to perform 5 HTTP transactions. The main domain is curzon.com and was registered NaN years ago.

Submitted URL: https://www.curzon.com/journal/wicked-for-good-s-jon-m-chu-on-saying-goodbye-to-the-franchise-i-was-bawling/

The Cisco Umbrella rank of the primary domain is #554,649 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Curzon site with no security concerns.

Safety Factors
Well‑established domain with decades of history
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Content appears to be a standard interview article
Domain age information unavailable

Details

Bot Protection Detected

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

Page Title

Curzon - Wicked: For Good’s Jon M Chu on Saying Goodbye to the Franchise: ‘I Was Bawling’

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(48%)

Domain Information

The domain name 'www.curzon.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'curzon' covers 6 characters split between 2 vowels and four consonants. Splitting it apart reveals 1 word: curzon. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.curzon.com/journal/wicked-for-good-s-jon-m-chu-on-saying-goodbye-to-the-franchise-i-was-bawling/

Page Load Overview

30.10s
Total Load Time
5
HTTP Requests
2
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-US
Text Length:58 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software48% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
48%
news media journalism
46%
healthcare medical
34%
documentation technical
33%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.67.74.237United States
AS13335CLOUDFLARENET
0104.26.13.109United States
AS13335CLOUDFLARENET
0104.16.80.73United States
AS13335CLOUDFLARENET
0104.16.79.73United States
AS13335CLOUDFLARENET
0104.26.12.109United States
AS13335CLOUDFLARENET
02606:4700::6810:4f49United States
AS13335CLOUDFLARENET
02606:4700::6810:5049United States
AS13335CLOUDFLARENET
57--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117641AFA973452AC498B4BCDFF26E494171FA0FFFAA188E4597D8B644293D88E507C10

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:olTrXRvWQCwV37sgLP8Zn3XJiJGSN6PIAP2I52:olTrXRvWQCwV37nLPc8uPIas

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:323161:ZCAUHgIQVASGAAECUYQEz0RKFkAIwFasCID1BCjAQ/iDBAQM0GdDoIHARTMAygwgPADTzUINhTlQLDgHKKkQDQHQBKIACQyJ

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:ffffffeffb818381
Perceptual Hash:ec936ec9ca364986
Difference Hash:6b4b332b23132727
Wavelet Hash:ffffc383c1818181
Color Hash:#9479d2

Other Hashes

Crop Resistant:6b4b332b23132727,46cfa76d072c0686,34c4c4c2c4c58d0c

Scan History

Scan history not available

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