Security Scan Report: moe-online.ru

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Submitted: Sep 26, 2026, 11:59:45 AMCompleted: Sep 26, 2026, 12:02:35 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Established 19-year-old Voronezh news site (moe-online.ru) with self-branding, real journalism content and no forms, no impersonation, no YARA/Safe Browsing hits. Only weak signals: unranked domain, redirect chains and generic abuse-reputation tags on third-party ad/font IPs.

Risk Factors (3)
10 redirects observed (8 cross-domain) — typical of ad-tech/tracking chains on news portals, adds mild noise but no malicious sink identified
16 Function() constructor calls in JavaScript — standard practice in advertising/analytics bundles, no obfuscated network sink tied to credential handling
Domain not ranked in Cisco Umbrella top 1M despite long age (weak prior only)
Safety Factors (5)
19-year-old well-established domain (registered 2007-03-15)
Self-branding only — title/meta/og all match the domain; no impersonation of another entity
Zero forms, zero password/payment fields, zero credential exfiltration
No YARA malware patterns, no high-precision native-YARA hits, no known kit roster match
Threat-intel matches describe outbound abuse reputation of unrelated third-party resource IPs, not this page's content
Domain age information unavailable

Details

Page Title

МОЁ! Online. Все новости Воронежаsecondary capture

Scan Type

public

Domain Name Analysis

The domain name 'moe-online.ru' uses the Russian country-code top-level domain (.ru) without a subdomain. The second-level label 'moe-online' is 10 characters long split between five vowels and four consonants, plus 1 hyphen. Splitting it apart reveals two words: moe, online. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://moe-online.ru

Page Load Overview

90.43s
Total Load Time
39.8 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ru
Text Length:79,528 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media80% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
80%
news media journalism
65%
government public service
64%
social media network
36%
forum
35%

Detected Features

Comments
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8691.215.41.65Russia
AS57724Ddos-guard Ltd
6104.17.111.223Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
677.88.55.88Yandex · CLOUDRussia
AS13238YANDEX LLC
687.228.57.56Russia
AS49505JSC Selectel
6155.212.203.195Moscow, Moscow, Russia
AS47764LLC VK
6188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
693.186.225.194Russia
AS47541LLC VK
683.222.5.43Russia
AS25532LLC masterhost
65.35.3.77Moscow, Moscow, Russia
AS50340JSC Selectel
688.212.202.52Moscow, Moscow, Russia
AS39134Edinaya Set Limited Liability Company
1226191--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166D4823041E6186B0113E1C2E925BF4E3E9254BFDB970A15B2FC1F793FE6DA4C926249

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:bEunVIoLOWZXC/UFa39m39u3cJ39m39s3xB3x+Anz3xB3xlA:E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:605237:qIANRZkiAARmREQQITNhOThgioMABbnEGAFAUFgWDQiEAIPkk8C6zEhguVCJcAJQ6hwUmFABoUABm8oSBQgK3IiAIAJiwkJ8

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

Average Hash:ffffff83cfff8700
Perceptual Hash:b9cc47f038a746b2
Difference Hash:00924317360e4c1e
Wavelet Hash:fe332b03cbcf0700
Color Hash:#79d2c2

Scan History

Scan history not available

Unable to load historical scan data