Security Scan Report: natalibrilenova.ru

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Submitted: Oct 3, 2026, 2:11:36 AMCompleted: Oct 3, 2026, 2:12:28 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

14-year-old self-branded Russian academic-help site; no forms, no credential capture, no Indicators of Compromise, no malware signals. Only minor signals are 6 redirects and unranked reputation. Low risk.

Risk Factors (2)
Six cross-domain redirects detected
Domain is unranked in Cisco Umbrella top 1M (weak prior only)
Safety Factors (5)
14-year-old registered domain (registration 2011-11-11)
Page shows its own brand matching the domain (self-branding), not impersonation
No credential, login or payment forms present in the captured DOM
No threat-intelligence matches, no YARA/IDS/Safe Browsing hits
Contacts handled via Telegram/WhatsApp links rather than on-page data collection
Domain age information unavailable

Details

Page Title

Помощь с учёбой от преподавателя Натальи Брильёновой

Scan Type

public

Domain Name Analysis

Within the Russian country-code top-level domain (.ru), 'natalibrilenova.ru' is registered while skipping any subdomain. Count 15 characters in 'natalibrilenova' containing seven vowels alongside 8 consonants. Word splitting yields 4 words: na, talib, rile, nova. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://natalibrilenova.ru

Page Load Overview

1.17s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ru
Text Length:4,431 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
71%
social media network
54%
e-commerce shopping
50%
documentation technical
48%
government public service
37%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
978.159.101.197Germany
AS28753Leaseweb Deutschland GmbH
4142.251.20.97Google · CDNUnited States
AS15169Google LLC
487.250.251.119Yandex · CLOUDRussia
AS13238YANDEX LLC
4142.250.154.102Google · CDNUnited States
AS15169Google LLC
4216.239.34.36Google · CDNUnited States
AS15169Google LLC
477.88.21.119Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
4142.250.154.113Google · CDNUnited States
AS15169Google LLC
487.250.250.119Yandex · CLOUDRussia
AS13238YANDEX LLC
378--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CEA2326287D5084B2125D0C9D426BE0D3CF650BEAF6A1B6272FC2D7F7FD6434862634A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:/yAQ47NEGcX1feeFekeM+eteVr23jeFe2EgrmATWBf46bahWJu8MjzKNL/OyrGEL:/yAQqNEXNeaekeM+eteV8eFe2lrmATW3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22683:C10AKbClSBURQhIACAGw4BRhQHABQYJTbQIGBsJuCEiAQJJYAQUJWGAABInEKPKxQkRtIkhAFDS2BNoAe50ig4SwEBAAIsEo

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:979387839397fff3
Perceptual Hash:bc3cc39c68c3c6c3
Difference Hash:36362e37373e4f0b
Wavelet Hash:938383838387efe3
Color Hash:#2dd298

Scan History

Scan history not available

Unable to load historical scan data