Security Scan Report: dubok.cz

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Submitted: Feb 4, 2026, 1:30:57 PMCompleted: Feb 4, 2026, 1:32:21 PMpubliccompleted
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Summary

This website contacted 12 IPs in 4 countries across 13 domains to perform 55 HTTP transactions. The main domain is dubok.cz and was registered NaN years ago.

Submitted URL: https://dubok.cz

AI Security Verdict

Low Risk

Confidence: 92%

3
Risk Score

Low‑risk e‑commerce site; no immediate threats detected.

Risk Factors
Password fields detected but not visible in the screenshot (potential hidden password field)
Safety Factors
Well‑established domain (>3 years old)
No malicious Indicators of Compromise
No malware detected
Meta tags consistent with legitimate business
Standard e‑commerce functionality (login/registration, contact forms)
Domain age information unavailable

Details

Page Title

Koupit nabytek v České republice (CZ) - Praha, Brno, Ostrava, Olomouc | Nabytek eshop Dubok.cz

Scan Type

public

Language

🇨🇿

Czech

(80% confidence)

Category

social_media

(50%)

Domain Information

The domain name 'dubok.cz' uses the Czech country-code top-level domain (.cz). The second-level label 'dubok' is 5 characters long with two vowels and three consonants. Tokenizing the label suggests 2 words: du, bok. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dubok.cz

Page Load Overview

28.49s
Total Load Time
72
HTTP Requests
18
Domains
722 KB
Total Size

Language Analysis

Primary Language

🇨🇿Czech
Code: cs
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:cs
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:cs-CZ
Text Length:22,117 chars
Detector Agreement:80%

Website Classification

Primary Category

social_media50% confidence
Type: webapp
Method: structural

All Detected Categories

social_media
50%
forum
40%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
65.9.85.50Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
699.80.65.155Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
6142.251.141.104United States
AS15169Google LLC
623.56.205.206Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
6194.182.84.229Prague, Prague, Czech Republic
AS24806INTERNET CZ, a.s.
63.248.236.157Unknown
6172.217.16.163Unknown
6142.251.140.164United States
AS15169Google LLC
623.36.162.206UnknownUnknown
6104.26.10.211UnknownUnknown
7212--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B8E409B062F9321F069387F557A0E306BF864097E9C62886B5EE47645FC3C45DE6B03A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:2pV4k7hBhJcqG/xDM3GfOIphbhCJg7cH8cXjoUD1O:aV4YM/xDHfNphbhMoUD1O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:710197:XlQ44AGpnoZARSNAIClhEOoCGEaAiCTRAYoDEEJADWAgKUJEUTCUSgIUQQgQAVElJABApdaEkDioUKGi0j0XAArmgEASwgCE

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

Average Hash:00cfcfffffcdedff
Perceptual Hash:fa344f63056a391e
Difference Hash:a739392974990975
Wavelet Hash:008187ffffc080bf
Color Hash:#ac535a

Scan History

Scan history not available

Unable to load historical scan data