Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is litres.ru.
Submitted URL: https://cv3.litres.ru
Effective URL: https://www.litres.ru/Redirected
The Cisco Umbrella rank of the primary domain is #58,627 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 78%
The site shows no phishing, malware, or credential‑harvesting indicators; it is low risk.
Safety Factors
Details
Page Title
Литрес – сервис электронных и аудиокниг, скачать в fb2 и mp3, читать и слушать онлайн на Litres
Scan Type
public
Language
Russian
Category
corporate
(50%)Domain Information
Domain 'cv3.litres.ru' uses the Russian country-code top-level domain (.ru) with subdomain 'cv3'. The second-level label 'litres' is 6 characters long split between two vowels and 4 consonants. Segmentation suggests 1 word: litres. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 18 | 193.26.19.14 | Russia | AS61306LLC LitRes |
| 18 | 193.26.19.105 | Russia | AS61306LLC LitRes |
| 18 | 151.236.94.134 | Russia | AS57363CDNvideo LLC |
| 54 | 3 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data