Summary
This website contacted 8 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://nid-naver-mail-nidlogin-login1-btfgxcvjapylikeanmmrlbnl.pages.dev/
Effective URL: https://help.naver.com/service/5640/category/bookmark?lang=koRedirected
AI Security Verdict
High Risk
Confidence: 84%
The page impersonates Naver using meta tags on an unranked, likely new subdomain and triggers high‑severity phishing IDS alerts, indicating a high‑risk phishing site.
Risk Factors
Details
Page Title
회원정보 고객센터
Scan Type
public
Language
Korean
Category
technology software
(77%)Domain Information
You're looking at domain 'nid-naver-mail-nidlogin-login1-btfgxcvjapylikeanmmrlbnl.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'nid-naver-mail-nidlogin-login1-btfgxcvjapylikeanmmrlbnl'. The core label 'pages' covers 5 characters split between 2 vowels and 3 consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 9 | 61.247.194.59 | South Korea | AS23576NAVER Cloud Corp. |
| 9 | 202.179.180.91 | United States | |
| 9 | 2.16.10.182 | South Korea | |
| 9 | 23.52.180.223 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 9 | 23.48.23.36 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 172.66.44.153 | United States | AS13335Cloudflare, Inc. |
| 9 | 2.23.245.18 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 9 | 203.104.162.225 | Unknown | Unknown |
| 72 | 8 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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