Summary
This website contacted 17 IPs in 3 countries across 7 domains to perform 104 HTTP transactions. The main domain is feenanoor.com and was registered NaN years ago.
Submitted URL: https://feenanoor.com/ayo-edebiri-why-she-is-the-star-everyone-is-talking-about/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
feenanoor.com
Scan Type
public
Language
Arabic
Category
entertainment media
(81%)Domain Information
The domain 'feenanoor.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'feenanoor' spans 9 characters containing five vowels alongside four consonants. Word splitting yields 3 words: fee, nano, or. Median word length is 3 characters. The linguistic tilt is Tagalog for 'fee'. It also appears in Chinese (Pinyin) and English 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 |
|---|---|---|---|
| 8 | 192.0.77.32 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 6 | 192.0.78.33 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 6 | 92.113.23.145 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 6 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 6 | 92.113.16.0 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 6 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 6 | 104.21.28.204 | United States | AS13335CLOUDFLARENET |
| 6 | 172.67.147.145 | United States | AS13335CLOUDFLARENET |
| 6 | 142.250.186.33 | United States | AS15169GOOGLE |
| 6 | 192.0.78.32 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 104 | 17 | - | - |
Detected Technologies19
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
Scan history not available
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