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Security Scan Report: www.linkedin.com

Redirected to: https://www.linkedin.com/uas/login?session_redirect=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F90788424%2Fadmin%2Ffeed%2Fposts%2F

Submitted: Nov 21, 2025, 12:58:04 PMCompleted: Nov 21, 2025, 1:01:55 PMpubliccompleted
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Summary

This website contacted 38 IPs in 4 countries across 14 domains to perform 65 HTTP transactions. The main domain is linkedin.com and was registered NaN years ago.

Submitted URL: https://www.linkedin.com/company/90788424/admin/feed/posts/

Effective URL: https://www.linkedin.com/uas/login?session_redirect=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F90788424%2Fadmin%2Ffeed%2Fposts%2FRedirected

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 login page; no security concerns detected.

Safety Factors
Official brand domain
Established domain age
Legitimate login page provided by the service
Domain age information unavailable

Details

Page Title

LinkedIn Login, Sign in | LinkedIn

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(65%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.linkedin.com' is registered with subdomain 'www'. The second-level label 'linkedin' is 8 characters long containing 3 vowels alongside 5 consonants. Breaking it apart gives two words: linked, in. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.linkedin.com/company/90788424/admin/feed/posts/

Page Load Overview

0.95s
Total Load Time
65
HTTP Requests
14
Domains
965 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:1,775 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
65%
technology software
29%
documentation technical
27%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17104.18.41.41United States
AS13335CLOUDFLARENET
15172.64.154.50United States
AS13335CLOUDFLARENET
83.255.167.81Dublin, Leinster, Ireland
AS16509AMAZON-02
613.107.6.158United States
AS8068MICROSOFT-CORP-MSN-AS-BLOCK
5142.250.186.35United States
AS15169GOOGLE
334.120.250.63Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2142.250.184.228United States
AS15169GOOGLE
2142.250.186.131United States
AS15169GOOGLE
2142.250.110.84United States
AS15169GOOGLE
6538--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A43C7E280F03E37020282E96856B7197C96905BD68C5C54BFAC4BBD6FE2E770D2B15D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:KsSpmCKyRxevPEHPha3Nkqh3H3c7fRko8SD3Z:BFH3cl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55198:EYQQ4JgBdQgEQATMEHgKAo0JpAQDFSI9iNKALHA4BQRcgQKIk5IYGRpJjgAJWCBJiiCCuaQiIiAMYIE5F+sCgJAImQDwBAQa

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data