Security Scan Report: se.linkedin.com

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Submitted: Mar 5, 2026, 12:13:57 PMCompleted: Mar 5, 2026, 12:15:02 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 6 domains to perform 118 HTTP transactions. The main domain is se.linkedin.com and was registered NaN years ago.

Submitted URL: https://se.linkedin.com/company/blueberry-college-universitet

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

AI Security Verdict

Safe Website

Confidence: 96%

1
Risk Score

Legitimate LinkedIn company page; no security concerns detected.

Safety Factors
Established domain with >20 years of age
Top 1K ranking in Cisco Umbrella
No redirects or URL manipulation
No payment or hidden password fields
No IDS alerts or suspicious network activity
Domain age information unavailable

Details

Page Title

Blueberry College & Universitet | LinkedIn

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(84%)

Domain Information

You're looking at domain 'se.linkedin.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'se'. Its registrable label 'linkedin' stretches across 8 characters holding three vowels versus 5 consonants. Breaking it apart gives two words: linked, in. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://se.linkedin.com/company/blueberry-college-universitet

Page Load Overview

1.86s
Total Load Time
69
HTTP Requests
9
Domains
1.1 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:10,450 chars
Detector Agreement:80%

Website Classification

Primary Category

education learning84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
84%
news/blog
35%
corporate
35%
forum
25%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.251.127.84United States
AS15169Google LLC
13146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1313.107.246.45United States
AS8075Microsoft Corporation
132.18.64.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.18.64.212Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
695--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19234B365AAF43E3B055782F975A2F611DAA5D20BD68D5CA4B89C53800FE5FB32D0B30C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GEqzjBqJTA2mDwwolPrLsx5GokHDQuLueKypeHCHsx5GoD/quLueKyBeHCnsx3Gk:yo7eeELQiA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:237250:JQHRAFygwmQcQ8IioiMBKRpUEgxyBUiLAgMEBCEBAJIEKsEIQtGFylBgcUNBAUcVKxC1YhFXgVoCoCCgYKXJuIEgVU5GAAI0

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:0000999b9bdbdfc7
Perceptual Hash:984b634736b8c9c7
Difference Hash:ccf3333232b2320c
Wavelet Hash:0000999b9bfbdf87
Color Hash:#ac8e53

Other Hashes

Scan History

Scan history not available

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