Security Scan Report: www.visiting.com.au

Submitted: Dec 14, 2025, 12:17:21 PMCompleted: Dec 14, 2025, 12:18:18 PMpubliccompleted
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Summary

This website contacted 30 IPs in 3 countries across 18 domains to perform 92 HTTP transactions. The main domain is visiting.com.au and was registered NaN years ago.

Submitted URL: https://www.visiting.com.au/beaches/bondi-beach/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
No redirects or external links
Content appears legitimate and informational
Domain age information unavailable

Details

Page Title

Bondi Beach – Visiting Australia

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'www.visiting.com.au' uses the Australian country-code top-level domain (.com.au); it also runs on subdomain 'www'. The core label 'visiting' covers 8 characters split between 3 vowels and 5 consonants. Breaking it apart gives 1 word: visiting. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.visiting.com.au/beaches/bondi-beach/

Page Load Overview

6.95s
Total Load Time
92
HTTP Requests
18
Domains
1.2 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-AU
Text Length:353 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.184.234United States
AS15169GOOGLE
3172.217.18.2United States
AS15169GOOGLE
3188.114.97.3United States
AS13335CLOUDFLARENET
334.160.55.127Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
323.52.180.25Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
3142.251.208.8United States
AS15169GOOGLE
313.107.213.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
323.216.77.36Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3142.250.185.65United States
AS15169GOOGLE
313.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
9230--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD432933B158542B265F82C4B1A8BB5EA29DE549E70BD6E5F2F8111C0BC5EF600F7788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:oQypGqa6+9ok9DdVjt2C9Vks7ZwGdQ0TEahOyaQEDVbzT4:oRQb6+xRt2C9asVwGdQ0TEahOyaQF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57084:AroM5yAkrSBwgIBDEQD0NwOGE2QyCaVAChwCFAYCpAhfPIUdAhIABGzCSAC4G2AwUCBROcMQkAUkC44BQF4BxCABjyIIyGcO

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:ffffc1c383dfffff
Perceptual Hash:ed69929234c76d29
Difference Hash:80ba03070f1e0002
Wavelet Hash:7ec281818082ffff
Color Hash:#4bd22d

Scan History

Scan history not available

Unable to load historical scan data