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://nid-naver-mail-nidlogin-login1-chgbuiuemifgaerinkqgrvvr.pages.dev/
Effective URL: https://help.naver.com/service/5640/category/bookmark?lang=koRedirected
AI Security Verdict
High Risk
Confidence: 88%
Subdomain on pages.dev mimics Naver brand via meta tags but lacks forms; high‑risk brand impersonation.
Risk Factors
Details
Page Title
회원정보 고객센터
Scan Type
public
Language
Korean
Category
technology software
(77%)Domain Information
Domain 'nid-naver-mail-nidlogin-login1-chgbuiuemifgaerinkqgrvvr.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'nid-naver-mail-nidlogin-login1-chgbuiuemifgaerinkqgrvvr'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus 3 consonants. Word splitting yields one word: pages. The median word length lands at five characters. 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 |
|---|---|---|---|
| 15 | 203.104.162.225 | Germany | AS23576NAVER Cloud Corp. |
| 8 | 23.48.23.21 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 125.209.233.25 | South Korea | AS23576NAVER Cloud Corp. |
| 8 | 23.52.180.223 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 8 | 2.23.245.18 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 8 | 172.66.44.247 | United States | AS13335Cloudflare, Inc. |
| 8 | 125.209.233.21 | Unknown | Unknown |
| 8 | 2.16.10.178 | Unknown | Unknown |
| 8 | 125.209.233.17 | South Korea | AS23576NAVER Cloud Corp. |
| 79 | 9 | - | - |
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
Unable to load historical scan data