Summary
This website contacted 148 IPs in 8 countries across 47 domains to perform 207 HTTP transactions. The main domain is macrumors.com and was registered NaN years ago.
Submitted URL: https://www.macrumors.com/2025/10/22/apple-removes-tea-dating-apps/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Apple Removes Tea Dating Apps Over Privacy Violations and User Complaints - MacRumors
Scan Type
public
Language
English
Category
news/blog
(100%)Domain Information
The domain name 'www.macrumors.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The core label 'macrumors' covers 9 characters holding 3 vowels versus 6 consonants. Word splitting yields two words: mac, rumors. Median word length is 4.5 characters. 'mac' is most common in Catalan usage. You will also see it in English and Chinese (Pinyin) 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 |
|---|---|---|---|
| 60 | 104.18.27.193 | United States | AS13335CLOUDFLARENET |
| 1 | 52.222.136.72 | United States | AS16509AMAZON-02 |
| 1 | 35.201.67.47 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 95.101.149.35 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 52.49.91.82 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 216.58.206.40 | United States | AS15169GOOGLE |
| 1 | 188.245.186.73 | Nuremberg, Bavaria, Germany | AS24940Hetzner Online GmbH |
| 1 | 52.31.13.113 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 195.181.170.19 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 207 | 148 | - | - |
Detected Technologies16
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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