Summary
This website contacted 129 IPs in 7 countries across 37 domains to perform 173 HTTP transactions. The main domain is macdailynews.com and was registered NaN years ago.
Submitted URL: https://macdailynews.com/2025/10/24/apple-pulls-tea-and-teaonher-apps-from-its-app-store/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate news article with no security concerns.
Safety Factors
Details
Page Title
Apple pulls 'Tea' and 'TeaOnHer' apps from its App Store - MacDailyNews
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
You're looking at domain 'macdailynews.com' on the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'macdailynews' stretches across 12 characters holding 4 vowels versus eight consonants. Splitting it apart reveals 3 words: mac, daily, news. Average segment length settles at 4 characters. Most frequently, 'mac' shows up in English. You will also see it in Chinese (Pinyin) and Sinhala 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 |
|---|---|---|---|
| 58 | 199.16.172.242 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 45 | 199.16.173.39 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 29 | 185.111.111.154 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 9 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 9 | 142.250.185.162 | United States | AS15169GOOGLE |
| 8 | 142.250.185.195 | United States | AS15169GOOGLE |
| 6 | 192.0.77.37 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 142.250.186.142 | United States | AS15169GOOGLE |
| 4 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 91.228.74.166 | United Kingdom | AS16509AMAZON-02 |
| 173 | 129 | - | - |
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
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