Security Scan Report: il.linkedin.com

Redirected to:
https://www.linkedin.com/authwall?trk=gf&trkInfo=AQHN5s1hvsjRpwAAAaDP0...
Site favicon
Submitted: Sep 23, 2026, 7:51:15 PMCompleted: Sep 23, 2026, 7:52:19 PMpubliccompleted

This website contacted 11 IPs in 2 countries across 11 domains to perform 67 HTTP transactions. The main domain is linkedin.com and was registered 7 years ago.

Submitted URL: https://il.linkedin.com/in/yechielleiter

Effective URL:

https://www.linkedin.com/authwall?trk=gf&trkInfo=AQHN5s1hvsjRpwAAAaDP0...
Redirected

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 authentication wall and signup page on linkedin.com. No phishing, malware, or impersonation indicators; established domain with legitimate SSO flows.

Safety Factors (5)
Official LinkedIn domain (linkedin.com)
Established domain registered in 2002
Legitimate cross-origin SSO flow to linkedin.com
No IoC / YARA / IDS / Safe Browsing threat indicators
Standard LinkedIn authentication wall/signup page
Domain age information unavailable

Details

Page Title

Sign Up | LinkedIn

Scan Type

public

Domain Name Analysis

The domain name 'il.linkedin.com' uses the commercial generic top-level domain (.com), featuring subdomain 'il'. Its registrable label 'linkedin' stretches across 8 characters containing three vowels alongside five consonants. Splitting it apart reveals 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://il.linkedin.com/in/yechielleiter

Page Load Overview

2.73s
Total Load Time
922 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,625 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
81%
technology software
58%
documentation technical
31%
adult content
27%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.18.41.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.64.146.215Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.64.154.50Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.18.33.206Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
623.194.190.166Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6146.75.122.133Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
6142.251.127.84Google · CDNUnited States
AS15169Google LLC
6150.171.110.56Azure · CLOUDUnited States
AS8075Microsoft Corporation
634.185.146.57Google · CDNFrankfurt am Main, Hesse, Germany
AS396982Google LLC
634.120.250.63Google · CDNKansas City, Missouri, United States
AS396982Google LLC
6711--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15673D691A2B02E77000786F974A1FA15E9D9C14BE65EACC2B9AC47582FD7C721E0F34D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ndtpAu+khfymQ5wxH8vG8/eeTwEwyNTC5:ndrAu+kh6yxH8vG8/v3wyNW5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:77933:oMAB4HFSRkEQkgFMSVVZAIDoAhgoiqt1RMCCm1ACBhAJMQAEGRFnJiIkEQUwUAiQCAAEYLkAAFADIcDijJ0EMCQDsJJosg4C

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:bfffe7e7e7e7fc84
Perceptual Hash:f28ddc2636c89c72
Difference Hash:20080c0c4d0c0935
Wavelet Hash:98e0e4e4e7e7e080
Color Hash:#d2797e

Other Hashes

Crop Resistant:20080c0c4d0c0935

Scan History

Scan history not available

Unable to load historical scan data