Security Scan Report: graychic.co.kr

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Submitted: Completed: publiccompleted
This website contacted 84 IPs in 4 countries across 60 domains to perform 351 HTTP transactions. The main domain is graychic.co.kr and was registered 16 years ago.

Submitted URL: https://graychic.co.kr

AI Security Verdict

Low Risk

Confidence: 84%

2
Risk Score

Established Korean fashion shopping mall with matching self-branding and no credential/payment forms; only notable signal is a high-severity IDS alert for a suspicious .ma POST.

Risk Factors (2)
High-severity IDS alert for an HTTP POST to a suspicious .ma domain, categorized as potentially bad traffic
Capture path involved four cross-domain redirects through advertising/analytics hosts, adding mild opacity
Safety Factors (5)
Established domain registered in 2010
Self-branding matches the domain; no impersonation of another entity
No credential or payment forms; forms are product search only
No threat-intelligence, hunting rule, kit-roster, or Safe Browsing malware/phishing evidence
Published company registration and customer service details
Domain age information unavailable

Details

Page Title

무심한듯 시크하게, 그레이시크

Scan Type

public

Domain Name Analysis

The domain name 'graychic.co.kr' uses the South Korean country-code top-level domain (.co.kr) while skipping any subdomain. The registrable portion 'graychic' spans 8 characters containing two vowels alongside 6 consonants. It segments into 2 words: gray, chic. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

사이즈무6교한 EW / BAY © OY OBA 7242 2020 내 | 홀가먼트 기모 7/사이즈 아우터 티셔츠 니트/가디건 .셔츠/블라무스 팬츠 스커트/원피스 YIM HRS 개인결제 삼품후기 블로그 로 신상 베스트 .인기상품재입고 혀든아이템 GC BEST NEW ARRIVALS

Page Load Overview

18.28s
Total Load Time
50.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ko
Text Length:37,307 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion84% confidence
Type: spa
Method: ml+structural

All Detected Categories

forum community discussion
84%
blog personal website
84%
adult content
71%
entertainment media
70%
social media network
68%

Detected Features

Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
91183.111.139.227South Korea
AS4766Korea Telecom
18203.245.12.123South Korea
AS4766Korea Telecom
6203.245.21.209South Korea
AS4766Korea Telecom
552.222.136.18Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5142.250.154.95Google · CDNUnited States
AS15169Google LLC
413.32.121.128Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
4142.251.13.97Google · CDNUnited States
AS15169Google LLC
452.222.136.103Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
42.16.10.180Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
418.245.86.118Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
35184--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101757481E9F52073416BC0F9B4B53BEBFCB0650BC6C50A70B2BD16A56BC5E936A1358C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FgNR3Aa3a9VwNustFtkT+Vh1PAsW2lFz5vVFtJndbzFtVJndAc2DQhAW+aT1XzfK:FgwWtHJVFjndbzFt7ndYEBqKu8VwN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1571446:BckNACAe4omEAIEBgJNA4tHF8hgxOEERhQQEVDIGUAA0YMMo9SGNjzBVCOP0ARrgRkJuBH0AUAiIDgIEDMUZSQYKQwALAMTi

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:ff890109090dcfff
Perceptual Hash:b96ec493c1b09ee4
Difference Hash:3b3335535b59198a
Wavelet Hash:ff890109090d8fff
Color Hash:07380080000

Scan History

Scan history not available

Unable to load historical scan data