Security Scan Report: sa.linkedin.com

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Submitted: May 13, 2026, 1:53:21 AMCompleted: May 13, 2026, 1:54:45 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 7 domains to perform 48 HTTP transactions. The main domain is sa.linkedin.com and was registered NaN years ago.

Submitted URL: https://sa.linkedin.com

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%

1
Risk Score

The site is a legitimate LinkedIn regional subdomain with no phishing or malware signs.

Safety Factors
Brand and domain alignment
Long‑standing domain registration
High reputation ranking
Absence of malicious indicators
Domain age information unavailable

Details

Page Title

‏LinkedIn ‏المملكة العربية السعودية‏: تسجيل الدخول أو إنشاء حساب

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

social media network

(99%)

Domain Information

You're looking at domain 'sa.linkedin.com' on the commercial generic top-level domain (.com) and includes subdomain 'sa'. Its registrable label 'linkedin' stretches across 8 characters split between three vowels and 5 consonants. Word splitting yields two words: linked, in. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sa.linkedin.com

Page Load Overview

1.92s
Total Load Time
49
HTTP Requests
11
Domains
683 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:5,998 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
99%
documentation technical
91%
technology software
91%
education learning
90%
government public service
87%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.251.127.84United States
AS15169Google LLC
8172.64.146.215United States
AS13335Cloudflare, Inc.
8144.2.15.25United States
AS14413LinkedIn Corporation
8104.18.33.206United States
AS13335Cloudflare, Inc.
82.21.20.155Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
496--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T180F382D122F41A37055BC9F9B551F624DDE2C92BC24EAC92F29E06526FE5C222D0F36C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8yU3KYJDZRhjJUAAI0UJAdMdRk87owXhj8GgMXqhDYJEtdCiF/APvTZExt+pWGaL:g6Y5GClJ4+Hk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:160419:ce4+SwDKdCCOQEjBBSuiEJE9EBpUvVlAKJJSA2AEDJKCSSAFR0DQEwmgOdSsioWgJCkBgREojqDUZAwAhOpEFAGQmAZWROGB

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:00009fffdbdfcfff
Perceptual Hash:bc465338c7b19e2c
Difference Hash:d9b42d2233331258
Wavelet Hash:000000ff9b8fcfff
Color Hash:#2dd2b1

Scan History

Scan history not available

Unable to load historical scan data