Summary
API
Submitted URL: https://bloknot-volzhsky.ru
The Cisco Umbrella rank of the primary domain is #785,868 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 82%
Established regional news site with self-branding, no credential/payment forms, and no malware or phishing indicators. Excessive redirects and a hidden regional-link block are anomalies but not sufficient for higher risk.
Risk Factors (2)
Safety Factors (5)
Details
Page Title
Новости Волжского сегодня - Блокнот Волжский
Scan Type
public
Domain Name Analysis
Within the Russian country-code top-level domain (.ru), 'bloknot-volzhsky.ru' is registered and has no subdomain. Count 16 characters in 'bloknot-volzhsky' split between three vowels and twelve consonants, plus one hyphen. It segments into four words: blok, not, vol, zhsky. Average segment length settles at 3.5 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 | 91.206.127.28 | Russia | AS201706Servicepipe LLC |
| 5 | 185.17.11.203 | St Petersburg, St.-Petersburg, Russia | AS49505JSC Selectel |
| 5 | 77.88.55.88Yandex · CLOUD | Russia | AS13238YANDEX LLC |
| 5 | 185.17.11.202 | St Petersburg, St.-Petersburg, Russia | AS49505JSC Selectel |
| 5 | 109.238.90.100 | Russia | AS201706Servicepipe LLC |
| 5 | 212.41.11.107 | Moscow, Moscow, Russia | AS50340JSC Selectel |
| 5 | 87.250.250.119Yandex · CLOUD | Russia | AS13238YANDEX LLC |
| 5 | 88.212.201.204 | Moscow, Moscow, Russia | AS39134Edinaya Set Limited Liability Company |
| 5 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 5 | 37.9.64.225Yandex · CLOUD | Russia | AS13238YANDEX LLC |
| 1748 | 347 | - | - |
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
Scan History
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