Security Scan Report: wcs.naver.com

Redirected to:
https://analytics.naver.com/
Site favicon
Submitted: Oct 1, 2026, 5:13:52 AMCompleted: Oct 1, 2026, 5:14:35 AMpubliccompleted

This website contacted 10 IPs in 2 countries across 7 domains to perform 39 HTTP transactions. The main domain is analytics.naver.com and was registered 15 years ago.

Submitted URL: https://wcs.naver.com

Effective URL:

https://analytics.naver.com/
Redirected

The Cisco Umbrella rank of the primary domain is #6,043 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Official Naver Analytics page on Naver's own 29-year-old domain. No forms, no impersonation, no Indicators of Compromise. Legitimate.

Safety Factors (5)
Well-established domain (29 years old, risk level minimal)
Top 10K Cisco Umbrella rank
No credential, payment or login forms present
Cross-origin JS traffic goes to navercorp.com (rank #27,499), Naver's own infrastructure
Self-branding consistent: page title/header match the host domain (Naver)
Domain age information unavailable

Details

Page Title

네이버 애널리틱스

Scan Type

public

Domain Name Analysis

Domain 'wcs.naver.com' uses the commercial generic top-level domain (.com) with subdomain 'wcs'. Count 5 characters in 'naver' split between 2 vowels and three consonants. Breaking it apart gives one word: naver. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wcs.naver.com

Page Load Overview

7.90s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:80%
Script:Hangul
Direction:ltr

Detection Details

HTML Lang Attribute:ko
Text Length:897 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service100% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
100%
blog personal website
100%
cryptocurrency blockchain
100%
news media journalism
99%
social media network
99%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12110.93.151.161Navercloud · CLOUDSouth Korea
AS23576NAVER Cloud Corp.
3202.179.180.91Navercloud · CLOUDSouth Korea
AS23576NAVER Cloud Corp.
32.20.245.168Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.48.23.54Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.52.180.223Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3203.104.162.225Germany
AS23576NAVER Cloud Corp.
3125.209.233.29Navercloud · CLOUDSouth Korea
AS23576NAVER Cloud Corp.
3110.93.151.131Navercloud · CLOUDSouth Korea
AS23576NAVER Cloud Corp.
32.16.168.47Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.48.23.46Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3910--

Detected Technologies2

JQueryv1.7.2
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140C20A416CF78032447B71A997AB7F186193C22BD20AEF90F5DC05689FC9E9B069778C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:K06S41AfX0i8BduRYe7qK9+MWOBZNx9u2DMVx37Zm+Ad7rAzz4p+xCx:v4Bd+D7qKnx9u2MVx37Zm+Ad7+sp7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26259:s2pAEgkZYFgEFJBk7gDZOQRq2JEAggwRbLDXNJxgANTpYBaCEeQAQXAYsggGHYkJAAAQIMZeLmdXgCYyEtAlHCiCiVgDIlMI

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:0008004cffffffff
Perceptual Hash:d15907a4ac687a7b
Difference Hash:baf8999100850c0c
Wavelet Hash:00000000ffffffff
Color Hash:#86802d

Scan History

Scan history not available

Unable to load historical scan data