Security Scan Report: www.idnes.cz

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Submitted: Dec 22, 2025, 1:29:36 AMCompleted: Dec 22, 2025, 1:29:39 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is idnes.cz and was registered NaN years ago.

Submitted URL: https://www.idnes.cz/mobil/chuck-norris-pavlasek-nebo-ctvrtnicek-znate-slavne-operatorske-reklamy.Q241120_154206_mobil_LHR

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news article with no security concerns.

Safety Factors
Established, long‑standing domain
No credential or payment collection
No suspicious external links
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Kvíz: Chuck Norris, Pavlásek nebo Čtvrtníček. Znáte slavné operátorské reklamy? – iDNES.cz

Scan Type

public

Language

🇨🇿

Czech

(42% confidence)

Category

news media journalism

(45%)

Domain Information

Within the Czech country-code top-level domain (.cz), 'www.idnes.cz' is registered and includes subdomain 'www'. Count 5 characters in 'idnes' split between 2 vowels and three consonants. Breaking it apart gives two words: id, nes. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.idnes.cz/mobil/chuck-norris-pavlasek-nebo-ctvrtnicek-znate-slavne-operatorske-reklamy.Q241120_154206_mobil_LHR

Page Load Overview

2.00s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇨🇿Czech
Code: cs
Confidence:42%
Script:Latin
Direction:ltr

Detection Details

Language Code:cs
Detection Confidence:42%
Script Type:Latin
Text Length:4,922 chars
Detector Agreement:80%

Website Classification

Primary Category

news media journalism45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
45%
entertainment media
32%
government public service
25%
corporate
25%

Detected Features

OG: website

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2A3F9F774AB7C32125292AAB824271CAF5762678B454C81B89C4DFDBF83F930D1215E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YrGQdCG6USBYAKBCnOeM51Q6H+JBkLBl6Zky7xj9RqW71d:PQdCpVny1vxyL9d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:105187:NBeBIIwkCNARhIXAQgIRQwAihiEEBSKrwAGSCBhw6gQBWTbSBM8fIgAYEIcleLARhMQNSpliwmgqAkEIyRCJICgLgYEUAqYA

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:ffffe7cfffc7c7c7
Perceptual Hash:b2cd32c9cc338cc7
Difference Hash:002a0e1c3c8d0d0d
Wavelet Hash:fe82838787878787
Color Hash:#a053ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data