Summary
This website contacted 4 IPs in 2 countries across 7 domains to perform 35 HTTP transactions. The main domain is t.me and was registered NaN years ago.
Submitted URL: https://yun.ir/l7x1p6
Effective URL: https://t.me/ogcirRedirected
AI Security Verdict
Safe Website
Confidence: 92%
The link redirects to a legitimate Telegram channel; no security concerns detected.
Safety Factors
Details
Page Title
Telegram: View @ogcir
Scan Type
public
Language
Arabic
Category
social media network
(80%)Domain Information
The domain 'yun.ir' uses the Iranian country-code top-level domain (.ir). Its registrable label 'yun' stretches across 3 characters with 1 vowel and 2 consonants. Word splitting yields one word: yun. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 9 | 149.154.167.99 | United Kingdom | AS62041Telegram Messenger Inc |
| 8 | 37.27.189.15 | Finland | AS24940Hetzner Online GmbH |
| 1 | 149.154.164.25 | Unknown | Unknown |
| 1 | 142.250.185.136 | Unknown | Unknown |
| 0 | 4 | - | - |
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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