Security Scan Report: m.naver.com.nheos.com

Submitted: Mar 4, 2026, 12:45:24 AMCompleted: Mar 4, 2026, 12:47:06 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is m.naver.com.nheos.com and was registered NaN years ago.

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

(65% confidence)

Category

technology software

(48%)

Domain Information

You're looking at domain 'm.naver.com.nheos.com' on the commercial generic top-level domain (.com) with subdomain 'm.naver.com'. The second-level label 'nheos' is 5 characters long with 2 vowels and 3 consonants. Breaking it apart gives 3 words: n, he, os. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://m.naver.com.nheos.com

Page Load Overview

0.89s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:165 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software48% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
48%
news media journalism
47%
healthcare medical
46%
documentation technical
46%
government public service
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22.23.245.18Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D6D0A7FF0042D1C24DB410C82CC7AAD399E937194AC2DDDCB3963085E9ADDF4A8839C1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxgiMiDM4awLKMifx4z:kxj3pQR3pvzRxpqSDtZwX2M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:224507b4cf77701c1b6cff9ddd392d9f

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:c040000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#8d1f93

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

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