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Security Scan Report: nid-naver-mail-nidlogin-login1-esnktebnoilyqlhjuflnesyg.pages.dev

Redirected to:
https://help.naver.com/service/5640/category/bookmark?lang=ko
Submitted: Apr 12, 2026, 5:23:53 AMCompleted: Apr 12, 2026, 5:25:12 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 10 domains to perform 97 HTTP transactions. The main domain is help.naver.com and was registered NaN years ago.

Submitted URL: http://nid-naver-mail-nidlogin-login1-esnktebnoilyqlhjuflnesyg.pages.dev/

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

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Subdomain on pages.dev mimics Naver brand via meta tags but lacks forms; high‑risk brand impersonation.

Risk Factors
Brand impersonation via meta tags
Unranked / low‑reputation domain
Unknown subdomain age on a generic hosting platform
Domain‑brand mismatch
Redirect to legitimate site used to mask malicious intent
Domain age information unavailable

Details

Page Title

회원정보 고객센터

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

technology software

(77%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'nid-naver-mail-nidlogin-login1-esnktebnoilyqlhjuflnesyg.pages.dev' is registered, featuring subdomain 'nid-naver-mail-nidlogin-login1-esnktebnoilyqlhjuflnesyg'. The core label 'pages' covers 5 characters with two vowels and three consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://nid-naver-mail-nidlogin-login1-esnktebnoilyqlhjuflnesyg.pages.dev/

Page Load Overview

4.67s
Total Load Time
79
HTTP Requests
9
Domains
387 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
152.23.245.18Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
823.52.180.223Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
8203.104.162.225Germany
AS23576NAVER Cloud Corp.
861.247.194.59South Korea
AS23576NAVER Cloud Corp.
8125.209.233.17South Korea
AS23576NAVER Cloud Corp.
8125.209.233.29UnknownUnknown
823.48.23.21Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8172.66.47.167United States
AS13335Cloudflare, Inc.
823.48.23.19UnknownUnknown
799--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10764077AF698947FB17745746DC3A69C7218C0428A172EBAFFDD9F1CD2C3C8A021A905

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:OcXcA1Hna8lDnGYT35CtIZVxLCkuQQE2t3SrDvxqR6nBleqxE8UshONShNCx9XE9:/cAV1lDnGYT35CtIZVxLCkuQQE2t3Srl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:334663:Byj4AoAU4QIChNQAqyKDoQA5YCyYegwHRWVUMCQ6B0wIEnrFBgEqAMIDIGNoAEHQgIj0AIABZA4QsIEKGeIFAAy6AHZDBMIB

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:#55bf40

Other Hashes

Crop Resistant:09f1322c20222222

Scan History

Scan history not available

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