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Security Scan Report: linkedin.nl

Redirected to: https://nl.linkedin.com/

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Submitted: Jan 19, 2026, 1:29:12 AMCompleted: Jan 19, 2026, 1:30:00 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 1 HTTP transaction. The main domain is nl.linkedin.com and was registered NaN years ago.

Submitted URL: https://linkedin.nl

Effective URL: https://nl.linkedin.com/Redirected

The Cisco Umbrella rank of the primary domain is #706,624 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Site redirects to official LinkedIn domain; no phishing indicators.

Safety Factors
Established domain age
Official brand domain in final URL
No credential or payment collection
Domain age information unavailable

Details

Page Title

LinkedIn: meld u aan of schrijf u in

Scan Type

public

Language

🇳🇱

Dutch

(80% confidence)

Category

technology software

(100%)

Domain Information

Domain 'linkedin.nl' uses the Dutch country-code top-level domain (.nl) while skipping any subdomain. Its registrable label 'linkedin' stretches across 8 characters with 3 vowels and 5 consonants. Segmentation suggests 2 words: linked, in. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://linkedin.nl

Page Load Overview

1.31s
Total Load Time
48
HTTP Requests
12
Domains
160 KB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:nl
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:nl
Text Length:5,283 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software100% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
100%
corporate business
91%
documentation technical
76%
education learning
62%
government public service
45%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1266.102.1.84United States
AS15169GOOGLE
6108.174.10.24United States
AS14413LINKEDIN
613.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
62.18.64.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6172.64.154.50United States
AS13335CLOUDFLARENET
6146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
6104.18.41.41United States
AS13335CLOUDFLARENET
487--

Detected Technologies1

Open-Graph-Protocolvwebsite
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BAE3A29162F42A3B015BC9F9B911FA25DDD6C11BC64EACD2F28D02622FE4D722D0F25D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zeCAsb3LmzZgIyjG1UyL4+WiZzd7dPm8mxIa9adavB9l1m00Vm:rAsbbUWIhRWxI0SM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:146054:aCCGlGQBpSQhGkxQdALCVUqFeZSAAQICSBC6AAwAmiCaKgChCuArIJcIAKAHgCsiQogpIBABIdBBCAmAA2gtcCQYqKKpgKqV

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:0000ffffd9f3f3ff
Perceptual Hash:ec13166c1b96a59b
Difference Hash:c1c10f3333372505
Wavelet Hash:0000ff9999d1f1f7
Color Hash:#87c5a1

Other Hashes

Crop Resistant:c1c10f3333372505,cac0f8e4d0e0cac8,2951158331797678

Scan History

Scan history not available

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