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Security Scan Report: de.linkedin.com

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Submitted: Jan 19, 2026, 2:55:23 AMCompleted: Jan 19, 2026, 2:56:39 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 7 domains to perform 67 HTTP transactions. The main domain is de.linkedin.com and was registered NaN years ago.

Submitted URL: https://de.linkedin.com

The Cisco Umbrella rank of the primary domain is #260 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Official LinkedIn subdomain with no security concerns detected.

Safety Factors
Well‑established domain (>20 years)
High Cisco Umbrella ranking (top 1k)
Official brand subdomain (de.linkedin.com)
No malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

LinkedIn: Einloggen oder anmelden

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

social media network

(53%)

Domain Information

Within the commercial generic top-level domain (.com), 'de.linkedin.com' is registered, featuring subdomain 'de'. The second-level label 'linkedin' is 8 characters long split between 3 vowels and 5 consonants. Breaking it apart gives 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://de.linkedin.com

Page Load Overview

1.13s
Total Load Time
48
HTTP Requests
12
Domains
821 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:6,603 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
53%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
874.125.71.84Germany
AS54113
8172.64.154.50United States
AS13335CLOUDFLARENET
8104.18.41.41Germany
AS14413
8144.2.15.25United States
AS14413LINKEDIN
8104.18.33.206United States
AS13335CLOUDFLARENET
486--

Detected Technologies3

Open-Graph-Protocolvwebsite
100%
Microsoft Power BI
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131E391D061F52A37055BC9F9B911FB25DDD2C12BC64EAC92F28D42962FA4D722D0F22C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zoyqH3SXGOj3Io1mgmtZmdzdTW8Ba3eavavCYHno400VO:2CesFNZoB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:156220:GSAwGWDD3KyII4VDSKcjcWQkQAKCJYJLAihFYCaAC8CQEkiCTKSDACoIEAUojvAFUOL1I5GShSJgEDLARrgFAUcCxYGEw2BA

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:0000fbfffbf3f3ff
Perceptual Hash:ec13066c9ae4e9cb
Difference Hash:e1c94b3333333705
Wavelet Hash:0000a1dfd9d1f1ff
Color Hash:#73bf40

Other Hashes

Crop Resistant:e1c94b3333333705,c6c4d8e0e4f9c8ca,29511583317b6678

Scan History

Scan history not available

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