Security Scan Report: loveopium.ru

Submitted: Dec 27, 2025, 5:02:34 AMCompleted: Dec 27, 2025, 5:04:40 AMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 3 countries across 12 domains to perform 84 HTTP transactions. The main domain is loveopium.ru.

Submitted URL: https://loveopium.ru

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Фотожурнал об интересных событиях в мире | Love Opium

Scan Type

public

Language

🇷🇺

Russian

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain 'loveopium.ru' uses the Russian country-code top-level domain (.ru) without a subdomain. Count 9 characters in 'loveopium' holding five vowels versus four consonants. It segments into 2 words: love, opium. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://loveopium.ru

Page Load Overview

110.92s
Total Load Time
68
HTTP Requests
10
Domains
1.6 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-RU
Text Length:6,392 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%
news/blog
40%

Detected Features

Search
Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12213.180.193.90Russia
AS13238YANDEX LLC
7157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
75.255.255.77Russia
AS13238YANDEX LLC
7195.80.50.41St Petersburg, St.-Petersburg, Russia
AS9123Jsc timeweb
787.250.251.119Russia
AS13238YANDEX LLC
737.9.64.225Russia
AS13238YANDEX LLC
7142.250.185.202United States
AS15169GOOGLE
7142.250.185.163United States
AS15169GOOGLE
7104.17.111.223UnknownUnknown
689--

Detected Technologies3

WordPressv6.4.1
100%
JQueryv3.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BFA3F9B173CE087B150693D6D5647B1C705A8F3ADF830A96F1BAA6387BD3DD0486A20D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DapcpZr0F2prA9/jf1QAIBPfh4dD02+xq+8pTHxne8UHj+N5fyihUY:mun02rU1Q5OeChUY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99350:wAwglAEQBCAzTGFNgQQEgU4DwAJANJJhpBhEgISxHE0xQxSotIAEnDiEQSwMREipFZBjISQAsABZQCqDcAiA5pgCkkMJABqZ

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:ffff8381818787ff
Perceptual Hash:bec9c136c93ec12a
Difference Hash:712c2f3f2f2f2f1a
Wavelet Hash:ffc78181818383ef
Color Hash:#ac539d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data