Security Scan Report: unn.ru

Redirected to:
http://www.unn.ru/
Submitted: Sep 27, 2026, 7:56:16 AMCompleted: Sep 27, 2026, 7:57:20 AMpubliccompleted

This website contacted 15 IPs in 2 countries across 12 domains to perform 132 HTTP transactions. The main domain is unn.ru.

Submitted URL: https://unn.ru

Effective URL:

http://www.unn.ru/
Redirected

The Cisco Umbrella rank of the primary domain is #723,645 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 97%

0
Risk Score

Official Lobachevsky State University website on its long-established domain. No phishing, malware, or scam indicators; search forms only. Safe to use.

Safety Factors (5)
Well-established official university domain (registered 2000)
Content, address, phone numbers, and organizational details match a legitimate Russian university
No credential harvesting, payment collection, or cross-origin form submissions
No malicious threat intelligence, YARA, or phishing indicators
Standard public-service/government education site with normal contact and search functionality
Domain age information unavailable

Details

Page Title

Университет Лобачевского Нижний Новгород - Университет Лобачевского

Scan Type

public

Domain Name Analysis

Domain 'unn.ru' uses the Russian country-code top-level domain (.ru) and has no subdomain. The second-level label 'unn' is 3 characters long with one vowel and two consonants. Word splitting yields one word: unn. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unn.ru

Page Load Overview

10.66s
Total Load Time
16.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ru-ru
Text Length:9,841 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service28% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
28%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2085.143.0.20Nizhniy Novgorod, Nizhny Novgorod Oblast, Russia
AS3267IDDQD-AS
895.129.237.220Russia
AS57724Ddos-guard Ltd
8142.251.13.97Google · CDNUnited States
AS15169Google LLC
887.240.132.72Russia
AS47541LLC VK
890.156.233.120Russia
AS47764LLC VK
887.250.250.119Yandex · CLOUDRussia
AS13238YANDEX LLC
890.156.232.15Russia
AS47764LLC VK
887.250.251.119Yandex · CLOUDRussia
AS13238YANDEX LLC
8142.250.154.95Google · CDNUnited States
AS15169Google LLC
8216.239.34.36Google · CDNUnited States
AS15169Google LLC
13215--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19EF3A470649458370013E0CAE4649F1D79B3E6BBDB060B66F2BC29797BD3F509A172CA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:XoC4zIruUb96TKodXBQbBAoJYp1op0D10vr0gAvX1t+WquIr9VTv8:Y0396TKodXBQbBAoJYpK8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:162898:AwgJgNCHAohgUmZacUgGIcoNkCASaQSnEAwSxWj0w3goK62AIHkAORaBgKXIAEMBoGEwPFBByAYYGgCpDjUAwaDMteCRWGKU

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:008ffbd3f3ffffc3
Perceptual Hash:ec4932136d4d3cd3
Difference Hash:d129363737274f0f
Wavelet Hash:0000d3d3d3fbe7c3
Color Hash:#3a7863

Scan History

Scan history not available

Unable to load historical scan data