Summary
API
This website contacted 230 IPs in 10 countries across 157 domains to perform 1288 HTTP transactions. The main domain is moe-online.ru and was registered 2 years 9 months ago.
Submitted URL: https://moe-online.ru
AI Security Verdict
Safe Website
Confidence: 85%
Established 19-year-old Voronezh news site with no forms, no impersonation, and no malware signals. The single threat-intel hit is a generic abuse-reputation tag on a third-party sub-resource address.
Safety Factors (5)
Details
Page Title
МОЁ! Online. Все новости Воронежаsecondary capture
Scan Type
public
Domain Name Analysis
You're looking at domain 'moe-online.ru' on the Russian country-code top-level domain (.ru) with no subdomain. The core label 'moe-online' covers 10 characters containing 5 vowels alongside 4 consonants; bonus characters include one hyphen. Tokenizing the label suggests two words: moe, online. The median word length lands at 4.5 characters. 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 |
|---|---|---|---|
| 143 | 91.215.41.65 | Russia | AS57724Ddos-guard Ltd |
| 5 | 104.16.160.145Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 77.88.55.88Yandex · CLOUD | Russia | AS13238YANDEX LLC |
| 5 | 87.228.57.56 | Russia | AS49505JSC Selectel |
| 5 | 155.212.203.195 | Moscow, Moscow, Russia | AS47764LLC VK |
| 5 | 188.114.96.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 87.240.137.164 | Russia | AS47541LLC VK |
| 5 | 23.111.96.12 | Moscow, Moscow, Russia | AS50340JSC Selectel |
| 5 | 5.35.3.77 | Moscow, Moscow, Russia | AS50340JSC Selectel |
| 5 | 88.212.202.52 | Moscow, Moscow, Russia | AS39134Edinaya Set Limited Liability Company |
| 1288 | 230 | - | - |
Detected Technologies15
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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