Summary
This website contacted 4 IPs in 2 countries across 4 domains to perform 61 HTTP transactions. The main domain is krasnoyarsk.avtolampi.ru and was registered NaN years ago.
Submitted URL: https://krasnoyarsk.avtolampi.ru
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
АвтоЛампы.ру — официальный интернет-магазин автомобильных ламп — Красноярск
Scan Type
public
Language
Russian
Category
e-commerce shopping
(43%)Domain Information
The domain name 'krasnoyarsk.avtolampi.ru' uses the Russian country-code top-level domain (.ru) with subdomain 'krasnoyarsk'. Count 9 characters in 'avtolampi' containing four vowels alongside 5 consonants. Breaking it apart gives 4 words: av, to, lamp, i. The median word length lands at 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 |
|---|---|---|---|
| 17 | 142.250.185.142 | United States | |
| 17 | 87.250.251.119 | Russia | AS13238YANDEX LLC |
| 17 | 77.88.21.119 | Russia | AS13238YANDEX LLC |
| 17 | 5.188.114.162 | Moscow, Moscow, Russia | AS50340JSC Selectel |
| 68 | 4 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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