Security Scan Report: wcs.naver.net.nheos.com

Submitted: May 4, 2026, 10:03:42 PMCompleted: May 4, 2026, 10:05:25 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is wcs.naver.net.nheos.com and was registered NaN years ago.

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

The Cisco Umbrella rank of the primary domain is #17,462 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 400 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Invalid URL

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

news media journalism

(50%)

Domain Information

The domain name 'wcs.naver.net.nheos.com' uses the commercial generic top-level domain (.com) and includes subdomain 'wcs.naver.net'. The second-level label 'nheos' is 5 characters long with two vowels and 3 consonants. It segments into three words: n, he, os. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.19s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:165 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism50% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
50%
government public service
49%
healthcare medical
48%
technology software
48%
documentation technical
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.50.131.113Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172D05EF68476A3868D7412D82C8A3A5658F5336C46548DA8A215228EE98CEF0EC83883

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxgVw5M4awLtwH4z:kxj3pQR3pvzRxpqSVRZwRaM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:00a2e4eadd19bd47d57e68b87dbe69a4

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:3f3fffffffffffff
Perceptual Hash:8303030303e3ffff
Difference Hash:c0c0000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#3a7778

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data