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Security Scan Report: linkedin.com

Submitted: Jan 19, 2026, 3:35:26 PMCompleted: Jan 19, 2026, 3:37:02 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 7 domains to perform 1 HTTP transaction. The main domain is linkedin.com and was registered NaN years ago.

Submitted URL: https://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 site with no security concerns detected.

Safety Factors
Well-established domain
High Cisco Umbrella ranking
Official brand domain
No malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

LinkedIn: Log In or Sign Up

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

Domain 'linkedin.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'linkedin' spans 8 characters split between 3 vowels and five consonants. Breaking it apart gives two words: linked, in. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://linkedin.com

Page Load Overview

8.17s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:732 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
social media network
75%
documentation technical
63%
adult content
55%
phishing scam
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12.18.64.204United States
AS8075
0104.18.33.206United States
AS8075
074.125.206.84United States
AS8075
0104.18.41.41United States
AS8075
0146.75.122.133United States
AS8075
0150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
16--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9F38FA162F42A37056BC4F9B921F721DDD2C11BD64EACD2F28D02962FE4D722D0B25D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+Cn3roZJojYxAlSHZId/dmg8gaBa7avM4Owq00VK:N4G9xYq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157548:JTkgPAQlJgAcDikCAJEgBEoNWCAoIJMkWQFA8howLkAAAlTlBVQNwi1gL6oQFJOVBktiEMKPBkJzSHgIAwkAeBlQBIImQwmU

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:e813166c1b86addb
Difference Hash:d5c32b3333372505
Wavelet Hash:0000f9d999d1f1ff
Color Hash:#d2432d

Other Hashes

Crop Resistant:d5c32b3333372505,cac8f0d0d444c2c0,2951158331797678

Scan History

Scan history not available

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