Summary
This website contacted 17 IPs in 2 countries across 5 domains to perform 76 HTTP transactions. The main domain is business.linkedin.com and was registered NaN years ago.
Submitted URL: https://business.linkedin.com/talent-solutions/resources/how-to-hire-guides/chief-financial-officer/job-description
AI Security Verdict
Safe Website
Confidence: 95%
The page appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Chief Financial Officer Job Description Template | LinkedIn
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
You're looking at domain 'business.linkedin.com' on the commercial generic top-level domain (.com) with subdomain 'business'. Its registrable label 'linkedin' stretches across 8 characters holding 3 vowels versus five consonants. It segments into two words: linked, in. Average segment length settles at 4 characters. The linguistic tilt is English for 'linked'. Secondary signals appear in Chinese (Pinyin) and Slovenian.
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 |
|---|---|---|---|
| 34 | 172.64.154.50 | United States | AS13335CLOUDFLARENET |
| 17 | 172.64.146.215 | United States | AS13335CLOUDFLARENET |
| 16 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 2.18.64.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 104.18.33.206 | United States | AS13335CLOUDFLARENET |
| 4 | 104.18.41.41 | United States | AS13335CLOUDFLARENET |
| 4 | 2.18.64.212 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 2606:4700:4407::ac40:92d7 | United States | AS13335CLOUDFLARENET |
| 4 | 2a06:98c1:3102::6812:2929 | United States | AS13335CLOUDFLARENET |
| 76 | 17 | - | - |
Detected Technologies5
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
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