Summary
This website contacted 6 IPs in 2 countries across 6 domains to perform 1 HTTP transaction. The main domain is linkedin.com and was registered NaN years ago.
Submitted URL: https://www.linkedin.com/in/waruguru-njuguna/
Effective URL: https://www.linkedin.com/authwall?trk=gf&trkInfo=AQGRuridSvlWfgAAAZzAVlfQsvfi2F-ZpH9etVj6c_iy2R6EM7AvZhVIHi2vo9ZNIZ0fqTKJp9Ozo0WzP6nP7f3MPRGS6wlYoxooepIh9Mu6BXaxRdk43ioBRzMAzJ8_R83tRgg=&original_referer=&sessionRedirect=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fwaruguru-njuguna%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: 98%
Legitimate LinkedIn sign‑up page; no security concerns detected.
Safety Factors
Details
Page Title
Sign Up | LinkedIn
Scan Type
public
Language
English
Category
social media network
(75%)Domain Information
The domain name 'www.linkedin.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'linkedin' stretches across 8 characters holding three vowels versus five consonants. Segmentation suggests two words: linked, in. Median word length is 4 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 |
|---|---|---|---|
| 12 | 142.251.127.84 | United States | AS15169Google LLC |
| 8 | 146.75.123.42 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 8 | 146.75.122.133 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 8 | 104.18.33.206 | United States | AS13335Cloudflare, Inc. |
| 8 | 172.64.146.215 | United States | AS13335Cloudflare, Inc. |
| 8 | 13.107.246.44 | Germany | Unknown |
| 52 | 6 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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