Security Scan Report: novofon.ru

Redirected to: https://novofon.com/

Submitted: Dec 26, 2025, 5:32:27 PMCompleted: Dec 26, 2025, 5:32:59 PMpubliccompleted
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Summary

This website contacted 0 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is novofon.com and was registered NaN years ago.

Submitted URL: https://novofon.ru

Effective URL: https://novofon.com/Redirected

The Cisco Umbrella rank of the primary domain is #694,888 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site with no security concerns; currently unreachable due to timeout.

Safety Factors
Well-established domain
No malicious Indicators of Compromise
No sensitive data collection forms
Domain age information unavailable

Details

Page Title

novofon.ru

Scan Type

public

Language

🇷🇺

Russian

(80% confidence)

Category

corporate business

(93%)

Domain Information

The domain name 'novofon.ru' uses the Russian country-code top-level domain (.ru) without a subdomain. The registrable portion 'novofon' spans 7 characters with three vowels and four consonants. Tokenizing the label suggests 3 words: nov, of, on. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://novofon.ru

Page Load Overview

9.93s
Total Load Time
321
HTTP Requests
11
Domains
2.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:ru
Detection Confidence:80%
Script Type:Cyrillic
HTML Lang Attribute:ru
Text Length:11,996 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business93% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
93%
technology software
89%
documentation technical
68%
government public service
49%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T151048F77329A063986558498E05B830D9F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszW2bMy8Oldh:8hoC9JSqzzbs6o3Sj3gcrsi2eAT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187108:BgYIBlikRFMCYQALAdQSXIQECA4SiENoDxBjAR6hEE0JzQujEZAQJhgWQ3oBMhCSQKdlAE5ZFQyMARSIAKCUhIIAFBOoBboQ

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc939365
Difference Hash:0018181616000000
Wavelet Hash:3c1c0404033f3f3f
Color Hash:#d2ca2d

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data