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Security Scan Report: 13thfloor.co.nz

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Submitted: Jan 4, 2026, 12:32:27 PMCompleted: Jan 4, 2026, 12:33:56 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 10 domains to perform 76 HTTP transactions. The main domain is 13thfloor.co.nz.

Submitted URL: https://13thfloor.co.nz/jill-scott-beautiful-people-13th-floor-new-song-of-the-day/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
No credential harvesting forms
No payment collection forms
No malicious Indicators of Compromise
No brand impersonation on an unranked domain
Standard informational content
Domain age information unavailable

Details

Page Title

Jill Scott - Beautiful People 13th Floor New Song Of The Day

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Within the New Zealand country-code top-level domain (.co.nz), '13thfloor.co.nz' is registered with no subdomain. Its registrable label '13thfloor' stretches across 9 characters split between 2 vowels and five consonants; bonus characters include 2 digits. Segmentation suggests three words: 13, th, floor. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://13thfloor.co.nz/jill-scott-beautiful-people-13th-floor-new-song-of-the-day/

Page Load Overview

4.93s
Total Load Time
77
HTTP Requests
14
Domains
1.6 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-NZ
Text Length:2,138 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
entertainment media
31%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1174.125.133.155United States
AS15169GOOGLE
6112.213.33.138Sydney, New South Wales, Australia
AS133159Mammoth Media Pty Ltd
6142.250.185.132United States
AS15169GOOGLE
6142.250.185.99United States
AS15169GOOGLE
6142.250.185.78AustraliaUnknown
6142.250.186.104United States
AS15169GOOGLE
6142.250.186.142United States
AS15169GOOGLE
6142.251.140.163United States
AS15169GOOGLE
6216.239.32.36AustraliaUnknown
6192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
7712--

Detected Technologies13

WordPress
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
LiteSpeed
40%
HTTP/3
40%
HSTS
40%
Google Analytics
35%
YouTube
30%
Themify Builder
30%
Gravatar
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192A33C364128653AA75F8ED234C5BF2F6056D062D5E31259F2BC59DC8BD6CB213B232C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4OXJRyp8xOYQtaLHmFdCaOSaYmFdCaOSayxwbKgoWeGFRChyE1HNnhm7U:7yaxOYQ+wbKgoWeGFEhj1HNnhm7U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:104145:TxCjwaFDUViAUADhAGIIICACAXIAiA0BICiADMAybOFAsAQjSKdJGEUaKG1CwuXBAEjMCsACJpYCDNcDh6KSAGAAww1kEEJA

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:ffd787878787fbff
Perceptual Hash:bc34cbe336c93438
Difference Hash:632e35272f1f432b
Wavelet Hash:bd8787838387819f
Color Hash:#d28f79

Other Hashes

Crop Resistant:632e35272f1f432b,a6beb6bededed6c9,d858f8d8c8d6b49c

Scan History

Scan history not available

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