Summary
API
This website contacted 17 IPs in 4 countries across 16 domains to perform 662 HTTP transactions. The main domain is florist.ru and was registered 15 years ago.
Submitted URL: https://www.florist.ru
The Cisco Umbrella rank of the primary domain is #604,456 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
Established 25-year-old Russian florist site displaying its own brand, with no forms, no Indicators of Compromise, no YARA or IDS hits. Redirects land on the same domain. Legitimate.
Safety Factors (5)
Details
Page Title
Доставка цветов в Москве, заказать и купить букеты цветов с бесплатной доставкой - ФЛОРИСТ.РУ
Scan Type
public
Domain Name Analysis
Within the Russian country-code top-level domain (.ru), 'www.florist.ru' is registered; it also runs on subdomain 'www'. Its registrable label 'florist' stretches across 7 characters containing 2 vowels alongside 5 consonants. Splitting it apart reveals one word: florist. Median word length comes out to 7 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 |
|---|---|---|---|
| 54 | 178.248.232.170 | Russia | AS51115HLL LLC |
| 38 | 95.181.182.182 | Perm, Perm Krai, Russia | AS210756EdgeCenter LLC |
| 38 | 104.18.0.22Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 38 | 5.101.71.73 | Yerevan, Yerevan, Armenia | AS201589edgeam LLC |
| 38 | 178.216.98.76 | Moscow, Moscow, Russia | AS51219K2 Integration JSC |
| 38 | 5.129.249.228 | Moscow, Moscow, Russia | AS9123Jsc timeweb |
| 38 | 185.71.67.146 | Russia | AS43298Storm Networks LLC |
| 38 | 142.250.154.97Google · CDN | United States | AS15169Google LLC |
| 38 | 84.252.130.113 | Russia | AS200350Yandex.Cloud LLC |
| 38 | 87.250.250.119Yandex · CLOUD | Russia | AS13238YANDEX LLC |
| 662 | 17 | - | - |
Detected Technologies6
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
Scan history not available
Unable to load historical scan data