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Security Scan Report: getlinkedin.com

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/7b8efa63-25f1-4202-bcb0-25f551a9b130Domain and IP registration (RDAP)/api/v1/rdap/7b8efa63-25f1-4202-bcb0-25f551a9b130How often this domain was scanned/api/v1/domain/stats/getlinkedin.comScan history for this domain/api/v1/domain/history/getlinkedin.com?limit=15
This website contacted 5 IPs in 2 countries across 6 domains to perform 9 HTTP transactions. The main domain is getlinkedin.com and was registered 1 month ago.

Submitted URL: https://getlinkedin.com/

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Parked WHC.ca registrar placeholder for getlinkedin.com with no content, forms or malware; name evokes LinkedIn but nothing impersonates it. Low risk; nothing to interact with.

Risk Factors (1)
Domain name getlinkedin.com incorporates the LinkedIn brand name while serving an unrelated registrar parking page (possible brand-squatting registration, though no impersonation is displayed)
Safety Factors (4)
Registrar-generated placeholder page from WHC.ca with standard hosting/DNS upsell links
No forms, no password or payment fields, no data collection
No Indicators of Compromise, no JavaScript malware, no credential exfiltration, no cross-origin form submission
External resources are common CDNs and the registrar's own hosts (jsdelivr, googleapis, whc.ca)
Domain age information unavailable

Details

Page Title

Domain registered at WHC.ca

Scan Type

public

Domain Name Analysis

The domain 'getlinkedin.com' uses the commercial generic top-level domain (.com) without a subdomain. Count 11 characters in 'getlinkedin' split between 4 vowels and seven consonants. It segments into 3 words: get, linked, in. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://getlinkedin.com/

Page Load Overview

1.35s
Total Load Time
184 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,020 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software91% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
91%
blog personal website
81%
documentation technical
77%
government public service
76%
education learning
66%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5149.56.225.6Montreal, Quebec, Canada
AS16276OVH SAS
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1158.69.149.141Montreal, Quebec, Canada
AS16276OVH SAS
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
95--

Detected Technologies3

HTTP/3
40%
Caddy
40%
Bootstrapv4.6.1
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F72833C62F921771093C3E5BA50B52D7E47E64B8099122AB3ADCBA42F07DEBD0579C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:aOpp4TeA1YzrSqjJDsl5ISPjCR8fLQiPoiW:aJSAeF4IOuRniwiW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16994:PwGXQGBNAhAwAwUSBikQlAIq5BDW0IWFmYwCEYAVZgACoQIiJQwiQAaSAxIOAAlRwAc3ES/jKB4PLoHA2AQgYBYKAAxSIK0G

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:bf9383d3ffffffff
Perceptual Hash:ed6d9292926d2d38
Difference Hash:2b323212e8e84c08
Wavelet Hash:bf030000ffff013f
Color Hash:#931f31

Other Hashes

Crop Resistant:2b323212e8e84c08

Scan History

Scan history not available

Unable to load historical scan data