Summary
This website contacted 2 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is click-casas.com and was registered NaN years ago.
Submitted URL: https://click-casas.com
Effective URL: https://www.click-casas.com/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate, showing its own brand, no forms, and no malicious indicators.
Safety Factors
Details
Page Title
Click-Casas | Property for sale in Javea, Moraira, Denia, Orba, Jalon,
Scan Type
public
Language
English
Category
real estate property
(93%)Domain Information
The domain name 'click-casas.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'click-casas' covers 11 characters split between three vowels and seven consonants, along with one hyphen. Tokenizing the label suggests 2 words: click, casas. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 60 | 142.251.127.97Google · CDN | United States | AS15169Google LLC |
| 60 | 31.170.101.200 | Spain | AS201942Soltia Consulting SL |
| 120 | 2 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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