Summary
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is linkedin.com and was registered NaN years ago.
Submitted URL: https://www.linkedin.com/company/zoom-video-communications/
Effective URL: https://www.linkedin.com/company/zoom-video-communications/?_l=en_USRedirected
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%
AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #260.
Safety Factors
Details
Page Title
Scan Type
public
Language
CA
Category
government public service
(100%)Domain Information
You're looking at domain 'www.linkedin.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'linkedin' stretches across 8 characters split between 3 vowels and five consonants. Splitting it apart reveals two words: linked, in. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 1 | 104.18.41.41 | United States | AS13335Cloudflare, Inc. |
| 1 | 1 | - | - |
Detected Technologies6
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data