Security Scan Report: cz.linkedin.com

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Submitted: Oct 14, 2025, 12:00:27 PMCompleted: Oct 14, 2025, 12:01:25 PMpubliccompleted
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Summary

This website contacted 15 IPs in 3 countries across 9 domains to perform 109 HTTP transactions. The main domain is cz.linkedin.com.

Submitted URL: https://cz.linkedin.com/in/tereza-valentov%C3%A1

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate LinkedIn profile with standard login prompt.

Safety Factors
Brand matches final domain
Standard LinkedIn login interface
Domain is part of a well‑known, high‑reputation brand
Domain age information unavailable

Details

Page Title

Tereza Valentová – PPC | Online marketing Specialist & Consultant | LinkedIn

Scan Type

public

Language

🇨🇿

Czech

(80% confidence)

Category

social media network

(96%)

Domain Information

Domain 'cz.linkedin.com' uses the commercial generic top-level domain (.com) with subdomain 'cz'. The registrable portion 'linkedin' spans 8 characters with 3 vowels and 5 consonants. It segments into two words: linked, in. The median word length lands at 4 characters. 'linked' most strongly signals English. You will also see it in Chinese (Pinyin) and Slovenian contexts.

Screenshot

Security scan screenshot of https://cz.linkedin.com/in/tereza-valentov%C3%A1

Page Load Overview

20.42s
Total Load Time
109
HTTP Requests
9
Domains
610 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
Text Length:9,576 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network96% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
96%
education
35%
corporate
35%
social_media
30%
education learning
30%

Detected Features

OG: profile
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.64.154.50United States
AS13335CLOUDFLARENET
734.120.250.63Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
7144.2.15.25United States
AS14413LINKEDIN
7108.177.15.84United States
AS15169GOOGLE
713.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
734.36.73.246Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
7146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
7104.18.33.206United States
AS13335CLOUDFLARENET
72620:119:50e8:101::9002:f19United States
AS14413LINKEDIN
72620:1ec:bdf::44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
10915--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D534B621A6F8393B0047C9BA7691FA11D996C50BE34E9C86F1FC43940FE6D722E4B61D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Fjeq0ayUsdEhQS8X9/qPTLEf3gFg1gmZTcReIMQ8WSBI9ZVAgs6Q9A6Lybr92Ogw:SQGmHEf/1cReyFSLsMWz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:236881:BwgogVgCYAoIwSBBQCQEDE6wZSEBQOfDFk4AIZKDaiBQiKJAJYpUY2jQBQAbLBgPRTMUL4wBCEoQUAKRBNBEUAJBCIJgDgMQ

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:0018381c1c3c1800
Perceptual Hash:9943731436b6c9b9
Difference Hash:ccf3333232b23216
Wavelet Hash:0018b99dbdbd9b89
Color Hash:#c1e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data