Security Scan Report: www.linkedin.com

Redirected to:
https://www.linkedin.com/#?NPQ=cnBpZXJjZUByaHJpbnRlcm5hdGlvbmFsLmNvbQ=...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 26 IPs in 3 countries across 21 domains to perform 147 HTTP transactions. The main domain is linkedin.com and was registered 24 years ago.

Submitted URL: https://www.linkedin.com/slink?code=gp7c4vtH#?NPQ=cnBpZXJjZUByaHJpbnRlcm5hdGlvbmFsLmNvbQ==/vWJ

Effective URL:
https://www.linkedin.com/#?NPQ=cnBpZXJjZUByaHJpbnRlcm5hdGlvbmFsLmNvbQ=...
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: 92%

1
Risk Score

Legitimate LinkedIn landing page on linkedin.com; the base64 email in the URL is LinkedIn's own email-campaign redirect tracking token, not phishing.

Safety Factors (4)
Official brand domain with strong reputation ranking
Same-origin login form action with CSRF tokens; no password or payment fields captured
No Indicators of Compromise, hunting rule or network IDS hits
Legal pages and social links present
Domain age information unavailable

Details

Page Title

LinkedIn: Log In or Sign Up

Scan Type

public

Domain Name Analysis

The domain name 'www.linkedin.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 8 characters in 'linkedin' split between 3 vowels and 5 consonants. It segments into two words: linked, in. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Linked ff Welcome to your professional community Continue with Google C ER Continue with Microsoft ) C Sign in with email ) By clicking Continue to join or sign in, you agree to Linkedin's User...

Page Load Overview

1.78s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,226 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
75%
education learning
51%
e-commerce shopping
29%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22172.64.146.215Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.18.41.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.64.154.50Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.18.33.206Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5146.75.122.133Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5142.251.157.119Google · CDNUnited States
AS15169Google LLC
5142.251.127.84Google · CDNUnited States
AS15169Google LLC
5142.251.14.94Google · CDNUnited States
AS15169Google LLC
5142.251.156.119Google · CDNUnited States
AS15169Google LLC
5150.171.74.13Azure · CLOUDUnited States
AS8075Microsoft Corporation
14726--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152F3B1A162F42A3B055BC5F9B921F725DDD2C11BE64EACD2F28D02562FE4C722D0B25C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RHk3scoSn6jjrlSnJ4IHIQtSaja7aTMwYUlUz:KbjWyIeqT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:167399:jDVCBCLiKDGSGIzQZeCjAwAowAIkkap1IZpjQInZA4tkoPwKUMFHkpoiCxCAK5ssAgQAAMACclBrgFrBxFFwJDCAhcqARwYC

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:ffdf99d1f1ff81d1
Perceptual Hash:ecc9939664699b4a
Difference Hash:2b33333737252729
Wavelet Hash:f99999d1d1ff8080
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data