Security Scan Report: linkedin.com

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

Submitted: Dec 7, 2025, 5:52:17 PMCompleted: Dec 7, 2025, 8:06:33 PMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 7 domains to perform 66 HTTP transactions. The main domain is linkedin.com.

Submitted URL: https://linkedin.com/

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

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 login page with no security concerns.

Safety Factors
Official brand domain
High Cisco Umbrella ranking
Presence of legal and privacy pages
Standard login form with proper CSRF tokens
Domain age information unavailable

Details

Page Title

LinkedIn: Log In or Sign Up

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(62%)

Domain Information

Domain 'linkedin.com' uses the commercial generic top-level domain (.com) and has no subdomain. Count 8 characters in 'linkedin' with three vowels and five 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://linkedin.com/

Page Load Overview

48.09s
Total Load Time
66
HTTP Requests
7
Domains
63 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
Text Length:5,690 chars
Detector Agreement:80%

Website Classification

Primary Category

education learning62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
62%
e-commerce shopping
45%
technology software
42%
social media network
32%
government public service
29%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14172.64.146.215United States
AS13335CLOUDFLARENET
4146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
4172.64.154.50United States
AS13335CLOUDFLARENET
413.107.6.158United States
AS8068MICROSOFT-CORP-MSN-AS-BLOCK
4104.18.33.206United States
AS13335CLOUDFLARENET
4150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4104.18.41.41United States
AS13335CLOUDFLARENET
4173.194.76.84United States
AS15169GOOGLE
42a06:98c1:3105::6812:21ceUnited States
AS13335CLOUDFLARENET
42a06:98c1:3102::6812:2929United States
AS13335CLOUDFLARENET
6614--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173F390A162F42A37015BC5F9B921FB25DDD2C11BD64EACD2F28D02562FE4D722D0B26C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XHn3WObI5ejYAlSHZInHiQokaja7aGxw+tVyZ:3UHGHreqUZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:163483:YgQHJgkCkE19oyChpBRDgwFoZQUaCkicqEhoAHQQkKkigUAGQdBIBBAOCCggYNi2qJHDANbi5JQLIkgTBAARdgYJQUg4hgBL

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:ec13166c1a94ed9b
Difference Hash:d5cb0b3333373705
Wavelet Hash:0000f9d999f1f1fd
Color Hash:#d279c9

Scan History

Scan history not available

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