Summary
This website contacted 8 IPs in 2 countries across 8 domains to perform 1 HTTP transaction. The main domain is linkedin.com and was registered NaN years ago.
Submitted URL: https://iq.linkedin.com/in/mehdi-tajdari-0ba33121a
Effective URL: https://www.linkedin.com/authwall?trk=gf&trkInfo=AQGFOKhX_CP5-gAAAZvbI-t4dHpCzWaluR_2tZ-7KtrcCB3Uf8voX0gv-s9qIjzYW5GaeononFU_02B6ZXqFFNptlO_W3HlNk_YkrlAWhBq6dy-HqrQlEER5dkNKDzcySZvZUKY=&original_referer=&sessionRedirect=https%3A%2F%2Fiq.linkedin.com%2Fin%2Fmehdi-tajdari-0ba33121aRedirected
The Cisco Umbrella rank of the primary domain is #260 of the top 1 million websitesTop 1K Site
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate LinkedIn sign‑up page; no security concerns.
Safety Factors
Details
Page Title
Sign Up | LinkedIn
Scan Type
public
Language
English
Category
social media network
(75%)Domain Information
Domain 'iq.linkedin.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'iq'. The core label 'linkedin' covers 8 characters split between 3 vowels and 5 consonants. Breaking it apart gives 2 words: linked, in. Median word length comes out to 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 |
|---|---|---|---|
| 9 | 2.18.64.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 146.75.122.133 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 6 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 144.2.14.21 | United States | AS14413LINKEDIN |
| 6 | 74.125.206.84 | United States | AS15169GOOGLE |
| 6 | 104.18.33.206 | United States | AS13335CLOUDFLARENET |
| 6 | 20.86.88.94 | Germany | Unknown |
| 51 | 8 | - | - |
Detected Technologies6
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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