Summary
API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/b7ead840-6cdf-4139-bc49-cb27513ae822Domain and IP registration (RDAP)/api/v1/rdap/b7ead840-6cdf-4139-bc49-cb27513ae822How often this domain was scanned/api/v1/domain/stats/trafalgar.comScan history for this domain/api/v1/domain/history/trafalgar.com?limit=15This website contacted 127 IPs in 4 countries across 31 domains to perform 272 HTTP transactions. The main domain is trafalgar.com and was registered 30 years ago.
Submitted URL: https://www.trafalgar.com/real-word/differences-between-australia-and-new-zealand/
The Cisco Umbrella rank of the primary domain is #527,840 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
1
Risk Score
Legitimate travel guide page; no phishing or malware indicators detected.
Safety Factors (3)
Established domain age and reputation
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Domain age information unavailable
Details
Page Title
7 of the main differences between Australia and New Zealand
Scan Type
public
Screenshot
![THE REALWORD © =» GZ search Q Destination Guides v Popular Topics v Trafalgar Unlocked Awards [australia |] 7Zof the;main\difterences) betweenvAustralialand|New) Recently updated on April 30th, 20...](/api/v1/screenshot/b7ead840-6cdf-4139-bc49-cb27513ae822.png?width=640)
Page Load Overview
59.89s
Total Load Time
7.6 MB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
HTML Lang Attribute:en-GB
Text Length:6,956 chars
Detector Agreement:100%
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 20 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 18.66.102.15 | United States | AS16509AMAZON-02 |
| 2 | 142.250.186.166 | United States | AS15169GOOGLE |
| 2 | 151.101.64.114 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 142.250.186.99 | United States | AS15169GOOGLE |
| 2 | 23.36.79.27 | Oslo, Oslo County, Norway | AS20940Akamai International B.V. |
| 2 | 212.102.56.179 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 2 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 2 | 18.66.147.47 | United States | AS16509AMAZON-02 |
| 2 | 13.32.27.126 | New York, New York, United States | AS16509AMAZON-02 |
| 272 | 127 | - | - |
Detected Technologies21
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focused
Specialized for malware detection and similarity analysis
T160846C23B6E9093B061B62EA6186B70AF9178153CB588AC0FBFD855C5BC5ED111733CE
ssdeep (Context Triggered Piecewise Hashing)
Context-aware
Detects similar content even with modifications
3072:ndgBVKQB8rDPaWETA4B8TwlnVPxCCWKXiN2kNf9Rx5aTJP4gdvdMHI8AM80q4Bqh:d7kATwlEyQN/tYXvjtygUxK
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:399924:AEUJNSBIADJCI0AJHwsiATQcgECYJhIxMBkAAkAGIgXAKYaRjHfOJ0DAcZHKywZoBMAAiicQElO6EmoCEATkDAaAEpwWSA5o
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:ff0f010109013f3f
Perceptual Hash:8978d6f2d9c46199
Difference Hash:32dbd3d3dbcb647a
Wavelet Hash:ff0f0b0909013f3f
Color Hash:N/A
Other Hashes
Crop Resistant:32dbd3d3dbcb647a,cd6dc9c969cc4d45,2b45f571ccd0712b
Scan History
Scan history not available
Unable to load historical scan data