Summary
This website contacted 66 IPs in 3 countries across 20 domains to perform 120 HTTP transactions. The main domain is dailyhodl.com and was registered NaN years ago.
Submitted URL: https://dailyhodl.com/bitcoin-news/
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Bitcoin News - The Daily Hodl
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(74%)Domain Information
You're looking at domain 'dailyhodl.com' on the commercial generic top-level domain (.com) and has no subdomain. Its registrable label 'dailyhodl' stretches across 9 characters split between 3 vowels and 6 consonants. Breaking it apart gives 3 words: daily, hod, l. Average segment length settles at 3 characters. 'daily' most strongly signals Catalan. It also appears in Chinese (Zhuyin) and Chinese (Simplified) contexts. Net impression: Catalan phrase.
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 |
|---|---|---|---|
| 56 | 192.0.66.200 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 11 | 142.250.185.130 | United States | AS15169GOOGLE |
| 4 | 172.217.18.3 | United States | AS15169GOOGLE |
| 4 | 34.198.151.20 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 35.214.168.80 | Groningen, Groningen, Netherlands | AS15169GOOGLE |
| 3 | 34.111.60.239 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 172.217.18.2 | United States | AS15169GOOGLE |
| 2 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 2 | 142.250.185.98 | United States | AS15169GOOGLE |
| 2 | 216.58.206.65 | United States | AS15169GOOGLE |
| 120 | 66 | - | - |
Detected Technologies18
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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