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Security Scan Report: ae.linkedin.com

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Submitted: Oct 17, 2025, 7:41:18 PMCompleted: Oct 17, 2025, 7:42:00 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 4 domains to perform 144 HTTP transactions. The main domain is ae.linkedin.com.

Submitted URL: https://ae.linkedin.com/company/zucchettibrasil

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate LinkedIn company page with no security concerns.

Safety Factors
Official LinkedIn subdomain (ae.linkedin.com)
Standard LinkedIn login form for unauthenticated users
Page content matches legitimate company information
Domain age information unavailable

Details

Page Title

Zucchetti Brasil | LinkedIn

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

documentation technical

(59%)

Domain Information

The domain name 'ae.linkedin.com' uses the commercial generic top-level domain (.com) and includes subdomain 'ae'. The second-level label 'linkedin' is 8 characters long containing three vowels alongside five consonants. Segmentation suggests 2 words: linked, in. Median word length is 4 characters. Most frequently, 'linked' shows up in English. You may catch it in Chinese (Pinyin) and Slovenian as well.

Screenshot

Security scan screenshot of https://ae.linkedin.com/company/zucchettibrasil

Page Load Overview

10.17s
Total Load Time
144
HTTP Requests
4
Domains
783 KB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:80%
Script Type:Arabic
HTML Lang Attribute:ar
Text Length:11,441 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
59%
corporate business
52%
corporate
35%
technology software
30%
social media network
29%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1613.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
16172.64.154.50United States
AS13335CLOUDFLARENET
16104.18.33.206United States
AS13335CLOUDFLARENET
1613.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
16146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
162a06:98c1:3105::6812:21ceUnited States
AS13335CLOUDFLARENET
162620:1ec:bdf::44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
162620:1ec:46::44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
162606:4700:4404::ac40:9a32United States
AS13335CLOUDFLARENET
1449--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B664A365A6F83A37050786F9B596F710C9A1D50BD64D9CA1B8AC67800FA2FB36D0F31C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FyzkU/0rU+GK3UIFZrmTPrY91Ey2O232B27179uGL/luwle/quLueKybRSujkaOX:qWUbAh+PfDX863L9Yl2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:316565:BABRJiLgQICXCAYAZvAAxWQBDASgFVsEAARQ1gAchABrCOoQDeYNEmIBySIACgNQwAAI8TRZqQkApgxEAAEAL5GGDZzgAcpI

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:00181cb9383c1800
Perceptual Hash:c91c363263eb9c9c
Difference Hash:4cb03233b3b2b34f
Wavelet Hash:001818f9f9bdf9e1
Color Hash:#32d22d

Other Hashes

Crop Resistant:a280a296aa8a8a8a,4cb03233b3b2b34f

Scan History

Scan history not available

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