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Security Scan Report: se.linkedin.com

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Submitted: Dec 7, 2025, 11:13:27 PMCompleted: Dec 7, 2025, 11:14:01 PMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 10 domains to perform 213 HTTP transactions. The main domain is se.linkedin.com.

Submitted URL: https://se.linkedin.com/company/the-coca-cola-company

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate LinkedIn company page for The Coca-Cola Company.

Safety Factors
Official brand page on LinkedIn
High domain reputation and ranking
Physical address and social media links visible
Domain age information unavailable

Details

Page Title

The Coca-Cola Company | LinkedIn

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

social media network

(82%)

Domain Information

Within the commercial generic top-level domain (.com), 'se.linkedin.com' is registered, featuring subdomain 'se'. Count 8 characters in 'linkedin' containing 3 vowels alongside five consonants. Breaking it apart gives 2 words: linked, in. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://se.linkedin.com/company/the-coca-cola-company

Page Load Overview

3.03s
Total Load Time
213
HTTP Requests
10
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:12,935 chars
Detector Agreement:60%

Website Classification

Primary Category

social media network82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
82%
blog personal website
65%
corporate business
59%
education learning
57%
adult content
43%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1613.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1613.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1634.120.250.63Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
16104.18.33.206United States
AS13335CLOUDFLARENET
16108.177.15.84United States
AS15169GOOGLE
16172.64.154.50United States
AS13335CLOUDFLARENET
1634.36.73.246Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
162606:4700:4404::ac40:9a32United States
AS13335CLOUDFLARENET
162620:1ec:bdf::44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
21313--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B274B325A6F43E3B154786F93655F724CAA2E20FD64C5DA9B99C57800FA1FB22D0F20C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TKPWgjcKuVzSqSiDfxD6f8YJUM7Ju+XiNUsQvGoX1IVbuLueKynYsTzRds2U4sfE:pYqAODivhLupf2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:345791:8gCwMBKiigLIAwwA8UFF2plchSVQpHAKSJG2TYSYhlBnhDSLQAEXYUogBEWAIIkESVGCSAGAsKQRYGFvVBMEEiaMAJIDiiAy

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:00181c1c3c3c1800
Perceptual Hash:9c4b634536b49ccb
Difference Hash:ccf333323232320c
Wavelet Hash:00189d99bdbdb987
Color Hash:#3a7478

Other Hashes

Crop Resistant:8e8cb2868a8eaebc,ccf333323232320c

Scan History

Scan history not available

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