Summary
This website contacted 15 IPs in 2 countries across 4 domains to perform 53 HTTP transactions. The main domain is dailycoin.com and was registered NaN years ago.
Submitted URL: https://dailycoin.com/bitcoin-btc/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate news site with no apparent security threats.
Safety Factors
Details
Page Title
Bitcoin (BTC) News - DailyCoin
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(84%)Domain Information
Domain 'dailycoin.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'dailycoin' covers 9 characters holding 4 vowels versus five consonants. Splitting it apart reveals 2 words: daily, coin. Median word length is 4.5 characters. Most frequently, 'daily' shows up in French. You may catch it in English and Chinese (Pinyin) as well.
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 |
|---|---|---|---|
| 11 | 104.16.80.73 | United States | AS13335CLOUDFLARENET |
| 3 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 3 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 3 | 216.58.206.34 | United States | AS15169GOOGLE |
| 3 | 2606:4700::6810:5049 | United States | AS13335CLOUDFLARENET |
| 3 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2a02:26f0:3500:8::210:a44 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2a02:26f0:3500:8::210:a48 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 2606:4700::6810:4f49 | United States | AS13335CLOUDFLARENET |
| 53 | 15 | - | - |
Detected Technologies5
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
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