Summary
This website contacted 85 IPs in 4 countries across 23 domains to perform 140 HTTP transactions. The main domain is radiofarda.com and was registered NaN years ago.
Submitted URL: https://www.radiofarda.com/a/nasser-taghvaei-dies-84-years-film/33559326.html
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news article with no security concerns.
Safety Factors
Details
Page Title
ناصر تقوایی، کارگردان و خالق آثار شاخص سینمایی و تلویزیونی، درگذشت
Scan Type
public
Language
FA
Category
entertainment media
(93%)Domain Information
The domain 'www.radiofarda.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 10 characters in 'radiofarda' holding five vowels versus five consonants. It segments into three words: radio, fard, a. Median word length is four characters. 'radio' most often appears in Hungarian. Secondary signals appear in Galician and Portuguese.
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 | 34.254.69.219 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 104.19.147.8 | United States | AS13335CLOUDFLARENET |
| 1 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 54.77.173.27 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 63.140.62.120 | United States | AS16509AMAZON-02 |
| 1 | 34.247.65.7 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 104.16.160.145 | United States | AS13335CLOUDFLARENET |
| 1 | 216.239.36.178 | United States | AS15169GOOGLE |
| 1 | 23.59.88.47 | Seattle, Washington, United States | AS20940Akamai International B.V. |
| 140 | 85 | - | - |
Detected Technologies11
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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