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Security Scan Report: naver-skevbofztnoexlafpuiqrxvs.pages.dev

Redirected to: https://help.naver.com/service/5640/category/bookmark?lang=ko

Submitted: Mar 19, 2026, 3:38:57 AMCompleted: Mar 19, 2026, 3:40:14 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 10 domains to perform 1 HTTP transaction. The main domain is help.naver.com and was registered NaN years ago.

Submitted URL: http://naver-skevbofztnoexlafpuiqrxvs.pages.dev/

Effective URL: https://help.naver.com/service/5640/category/bookmark?lang=koRedirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Redirect leads to official Naver help page; no malicious content detected.

Safety Factors
Final destination is an official Naver help page
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

회원정보 고객센터

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

technology software

(77%)

Domain Information

You're looking at domain 'naver-skevbofztnoexlafpuiqrxvs.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'naver-skevbofztnoexlafpuiqrxvs'. The core label 'pages' covers 5 characters containing 2 vowels alongside three consonants. Breaking it apart gives 1 word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://naver-skevbofztnoexlafpuiqrxvs.pages.dev/

Page Load Overview

3.82s
Total Load Time
73
HTTP Requests
7
Domains
66 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:ko
Detection Confidence:80%
Script Type:Hangul
HTML Lang Attribute:ko
Text Length:2,383 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
77%
social media network
62%
corporate business
51%
documentation technical
43%
government public service
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.66.47.115United States
AS13335Cloudflare, Inc.
823.58.109.20Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
8203.104.162.225United States
AS20940
823.52.180.223Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
823.48.23.19UnknownUnknown
8202.179.180.91UnknownUnknown
8125.209.233.17South Korea
AS23576NAVER Cloud Corp.
823.48.23.36Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
861.247.192.235South Korea
AS23576NAVER Cloud Corp.
739--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F474087AF698947FB17745746DC3A69C7218C0428A172EBAFFDD9F1CD2C3C8A021A905

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:OcXcA1Hna8lDnGYT35CtIZVxLCkuQQE2t3SrDvxqR6nBleqxE8UshONShNCx9XEE:/cAV1lDnGYT35CtIZVxLCkuQQE2t3Srs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:337442:4CEkDRLEIFELGGgPABqcogAwhaQEAFQUCgCCJocwhUZE7VihQUMOIUoSZ5oAtWQKAJRE0CCsQMNiCApsAAHCFjBSTgA0HB8K

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:0000ffffffffffff
Perceptual Hash:9d0a0222f5a7fdc9
Difference Hash:09f1322c20222222
Wavelet Hash:000000bebebfbfbe
Color Hash:#c587c0

Other Hashes

Crop Resistant:09f1322c20222222

Scan History

Scan history not available

Unable to load historical scan data