Summary
This website contacted 2 IPs in 2 countries across 9 domains to perform 2 HTTP transactions. The main domain is autoneva.ru and was registered 20 years ago.
Submitted URL: https://www.autoneva.ru
AI Security Verdict
Safe Website
Confidence: 93%
The site shows no malicious indicators, has an old reputable domain, and contains only informational content with a harmless search form.
Safety Factors
Details
Page Title
Новости и фотографии, техническая информация об автомобилях мира | BestCarPhoto.ru
Scan Type
public
Language
Russian
Category
documentation technical
(54%)Domain Information
Domain 'www.autoneva.ru' uses the Russian country-code top-level domain (.ru) and includes subdomain 'www'. The registrable portion 'autoneva' spans 8 characters containing five vowels alongside three consonants. Tokenizing the label suggests two words: auto, neva. Expect 4 characters per word on average. 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 |
|---|---|---|---|
| 21 | 142.251.14.155Google · CDN | United States | AS15169Google LLC |
| 20 | 45.144.67.142 | Moscow, Moscow, Russia | AS204997First Server Limited |
| 41 | 2 | - | - |
Page Statistics
Detected Technologies7
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