Summary
This website contacted 68 IPs in 2 countries across 18 domains to perform 144 HTTP transactions. The main domain is storyboard18.com and was registered NaN years ago.
Submitted URL: https://www.storyboard18.com/digital/apple-removes-controversial-dating-apps-tea-and-teaonher-from-app-store-over-privacy-and-content-concerns-82987.htm
AI Security Verdict
Safe Website
Confidence: 92%
The site appears to be a legitimate news outlet with no security threats.
Safety Factors
Details
Page Title
Apple removes controversial dating apps Tea and TeaOnHer from App Store over privacy and content concerns
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
The domain 'www.storyboard18.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'storyboard18' stretches across 12 characters split between three vowels and 7 consonants, along with 2 digits. Tokenizing the label suggests two words: storyboard, 18. The median word length lands at 6 characters. 'story-board' most strongly signals French. Net impression: French phrase with character flair.
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 |
|---|---|---|---|
| 10 | 2.20.245.135 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 18.245.64.167 | United States | AS16509AMAZON-02 |
| 2 | 142.250.186.130 | United States | AS15169GOOGLE |
| 2 | 142.250.185.163 | United States | AS15169GOOGLE |
| 2 | 142.250.186.168 | United States | AS15169GOOGLE |
| 2 | 18.244.18.63 | United States | AS16509AMAZON-02 |
| 2 | 18.244.18.5 | United States | AS16509AMAZON-02 |
| 2 | 2.18.64.217 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 18.244.18.122 | United States | AS16509AMAZON-02 |
| 2 | 162.247.241.14 | United States | AS23467NEWRELIC-AS-1 |
| 144 | 68 | - | - |
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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