Summary
This website contacted 61 IPs in 4 countries across 22 domains to perform 103 HTTP transactions. The main domain is cadillacanz.com and was registered NaN years ago.
Submitted URL: https://www.cadillacanz.com/au-en
AI Security Verdict
High Risk
Confidence: 85%
The site likely impersonates Cadillac and should be treated as a phishing threat.
Risk Factors
Details
Page Title
Cadillac Australia | Luxury Electric Vehicles
Scan Type
public
Language
English
Category
education learning
(51%)Domain Information
The domain name 'www.cadillacanz.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Count 11 characters in 'cadillacanz' holding 4 vowels versus seven consonants. It segments into two words: cadillac, anz. The median word length lands at 5.5 characters. 'cadillac' is most common in Finnish usage. It also appears in German and Italian contexts.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 43 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 13.77.50.112 | Melbourne, Victoria, Australia | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 13.33.220.227 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 2.16.168.112 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.185.200 | United States | AS15169GOOGLE |
| 1 | 46.51.175.46 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 142.250.184.226 | United States | AS15169GOOGLE |
| 1 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 3.227.146.125 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 63.140.62.200 | United States | AS16509AMAZON-02 |
| 103 | 61 | - | - |
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data