Summary
This website contacted 16 IPs in 2 countries across 7 domains to perform 76 HTTP transactions. The main domain is ct-landing.pages.dev and was registered NaN years ago.
Submitted URL: https://ct-landing.pages.dev/blog/bitcoin-halving
AI Security Verdict
High Risk
Confidence: 88%
Page impersonates LinkedIn on an unrelated domain, posing a high phishing risk.
Risk Factors
Details
Page Title
Bitcoin Halving: What You Need to Know
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(60%)Domain Information
The domain name 'ct-landing.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'ct-landing'. The second-level label 'pages' is 5 characters long holding 2 vowels versus 3 consonants. Segmentation suggests 1 word: pages. 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 |
|---|---|---|---|
| 16 | 146.75.123.7 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 104.18.11.139 | United States | AS13335CLOUDFLARENET |
| 4 | 34.120.195.249 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 104.18.24.47 | United States | AS13335CLOUDFLARENET |
| 4 | 172.66.44.143 | United States | AS13335CLOUDFLARENET |
| 4 | 172.66.47.113 | United States | AS13335CLOUDFLARENET |
| 4 | 104.18.10.139 | United States | AS13335CLOUDFLARENET |
| 4 | 2606:4700:310c::ac42:2c8f | United States | AS13335CLOUDFLARENET |
| 4 | 2606:4700::6812:a8b | United States | AS13335CLOUDFLARENET |
| 4 | 2a04:4e42:8e::775 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 76 | 16 | - | - |
Detected Technologies7
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
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