Security Scan Report: lan.sdk.linkedin.com

Submitted: Mar 18, 2026, 11:32:10 AMCompleted: Mar 18, 2026, 11:33:29 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is lan.sdk.linkedin.com and was registered NaN years ago.

Submitted URL: https://lan.sdk.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

404: Not Found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(92%)

Domain Information

Domain 'lan.sdk.linkedin.com' uses the commercial generic top-level domain (.com) and includes subdomain 'lan.sdk'. The registrable portion 'linkedin' spans 8 characters with 3 vowels and five consonants. Breaking it apart gives two words: linked, in. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lan.sdk.linkedin.com

Page Load Overview

0.61s
Total Load Time
3
HTTP Requests
2
Domains
31 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:460 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network92% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
92%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2150.171.22.14United States
AS8075Microsoft Corporation
1104.18.33.206United States
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T110B18417A794330ABB635148FE52F329A2274052F71FACF95D560828DBCCA161A733DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:1Iz2hoLCsiht3UkFx7WRomrNzwkJiGPcvJS+lJixiK7nfr/:1ImoLrihtfFx2cxlsr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5507:AEBAgSjNGUPQjpMVIg4LBEiEQEAgAoAhaUAQIjEAAhkEAooAEAWCAYoICICCRAKAgDgQEkRICCCAgQBRjhEEgB0nK0AcVAjA

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:c3c3c7ffffffffff
Perceptual Hash:b1313138dcdcccdc
Difference Hash:1e1e140000000000
Wavelet Hash:c3c3c3ff00000000
Color Hash:#796ce0

Other Hashes

Crop Resistant:1e1e140000000000

Scan History

Scan history not available

Unable to load historical scan data