Summary
This website contacted 5 IPs in 2 countries across 6 domains to perform 91 HTTP transactions. The main domain is autoinstruction.ru.
Submitted URL: https://autoinstruction.ru
AI Security Verdict
Safe Website
Confidence: 80%
No suspicious activity detected; site appears legitimate.
Safety Factors
Details
Page Title
Мануалы для обслуживания и ремонта автомобилей разных моделей
Scan Type
public
Language
Russian
Category
corporate
(50%)Domain Information
Domain 'autoinstruction.ru' uses the Russian country-code top-level domain (.ru) with no subdomain. Count 15 characters in 'autoinstruction' holding 7 vowels versus eight consonants. Word splitting yields 2 words: auto, instruction. Expect 7.5 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 |
|---|---|---|---|
| 22 | 37.9.64.225 | Russia | AS13238YANDEX LLC |
| 21 | 185.244.41.168 | United Arab Emirates | AS204490Kontel LLC |
| 13 | 87.250.250.119 | Russia | AS13238YANDEX LLC |
| 5 | 77.88.44.55 | Russia | AS13238YANDEX LLC |
| 1 | 88.212.201.204 | Moscow, Moscow, Russia | AS39134Edinaya Set Limited Liability Company |
| 0 | 5 | - | - |
Detected Technologies2
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