Summary
API
This website contacted 2 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is pult.ru and was registered 24 years ago.
Submitted URL: https://pult.ru
AI Security Verdict
Safe Website
Confidence: 90%
Long-established Russian electronics/Hi-Fi retailer (pult.ru, 24 years old) with self-matched branding, no forms, and no Indicators of Compromise, malware, or phishing signals. Unranked status is a weak prior only.
Safety Factors
Details
Page Title
Интернет-магазин Пульт.ру - электроника, акустика, Hi-Fi оборудование и домашние кинотеатры в Москве. Доставка по всей России.secondary capture
Scan Type
public
Domain Name Analysis
You're looking at domain 'pult.ru' on the Russian country-code top-level domain (.ru) without a subdomain. The registrable portion 'pult' spans 4 characters containing 1 vowel alongside three consonants. Word splitting yields two words: pul, t. Median word length is two 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 |
|---|---|---|---|
| 1 | 82.202.191.75 | Russia | AS209030AO Kaspersky Lab |
| 1 | 79.174.70.161 | Russia | AS39494Jsc ru-center |
| 0 | 2 | - | - |
Detected Technologies2
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