Security Scan Report: curiocity.com

Submitted: Nov 14, 2025, 5:07:08 PMCompleted: Nov 14, 2025, 5:09:18 PMpubliccompleted
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Summary

This website contacted 203 IPs in 0 countries across 57 domains to perform 182 HTTP transactions. The main domain is curiocity.com and was registered NaN years ago.

Submitted URL: https://curiocity.com/olivia-dean-tour-toronto/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page shows no security threats and is likely a legitimate editorial article.

Safety Factors
Established domain with long registration history
No suspicious forms or data collection
No known malicious Indicators of Compromise
Content matches expected editorial style
Domain age information unavailable

Details

Page Title

Olivia Dean is performing in Toronto and here's how to get tickets

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(82%)

Domain Information

You're looking at domain 'curiocity.com' on the commercial generic top-level domain (.com) with no subdomain. The registrable portion 'curiocity' spans 9 characters with four vowels and five consonants. Breaking it apart gives 2 words: curio, city. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://curiocity.com/olivia-dean-tour-toronto/

Page Load Overview

68.59s
Total Load Time
182
HTTP Requests
57
Domains
2.5 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-US
Text Length:61,862 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
82%
social media network
65%
travel tourism
48%
news media journalism
44%
blog personal website
37%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18252.31.242.197UnknownUnknown
018.173.205.67UnknownUnknown
0142.250.185.65UnknownUnknown
0172.217.18.14UnknownUnknown
0142.251.140.168UnknownUnknown
0204.180.130.165UnknownUnknown
0142.250.184.195UnknownUnknown
0103.231.98.84UnknownUnknown
0162.19.138.119UnknownUnknown
015.197.193.217UnknownUnknown
182203--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17A9319F3A948A0764367A6CDF177F70DB773802ADA8288C5D2ECC6987BD1EC54412A4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:bn4MO9JipxJpxxJWd0BP6vh5Asw6pxhg23o7//ES/lDFhguBQgUb:b4Up7pLAnpsFhguigUb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92181:ANMMMixG4BQIELKgBmgBACTAhAG0ypAARpsJgljoYBAtatIGgUwwACgKERFQwwAIIHtFBGAFQIQliWBQjsAoMjBkAA1YQABk

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:ffffffff87878783
Perceptual Hash:bec38c3669c83336
Difference Hash:62643c3c2c2d2d36
Wavelet Hash:38ff878f83838383
Color Hash:#e0946c

Scan History

Scan history not available

Unable to load historical scan data