Security Scan Report: product.kyobobook.co.kr

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Submitted: Oct 4, 2026, 12:25:21 PMCompleted: Oct 4, 2026, 12:26:29 PMpubliccompleted

This website contacted 75 IPs in 7 countries across 50 domains to perform 237 HTTP transactions. The main domain is product.kyobobook.co.kr and was registered 2 years 10 months ago.

Submitted URL: https://product.kyobobook.co.kr/detail/S000215755945

The Cisco Umbrella rank of the primary domain is #324,660 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Kyobo Bookstore product page on its own 29-year-old domain; no forms capturing credentials or payment data and no threat-intel, malware or IDS signals.

Safety Factors (6)
Established domain (29 years old, registered 1997)
Domain matches displayed brand (self-branding)
No credential or payment capture fields
No threat-intel, YARA, kit-roster or IDS hits
Legitimate commerce indicators: business registration number, escrow payment service, physical address and contact numbers
15 third-party script hosts, all ranked in the top 1M popularity list
Domain age information unavailable

Details

Page Title

오늘의 날씨는 - 교보문고

Scan Type

public

Domain Name Analysis

Within the South Korean country-code top-level domain (.co.kr), 'product.kyobobook.co.kr' is registered and includes subdomain 'product'. The core label 'kyobobook' covers 9 characters with four vowels and five consonants. Breaking it apart gives three words: k, yobo, book. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://product.kyobobook.co.kr/detail/S000215755945

Page Load Overview

4.60s
Total Load Time
6.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ko
Text Length:7,796 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning44% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
44%
corporate
35%
entertainment media
34%
travel tourism
27%
e-commerce
15%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1565.8.131.11Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
318.172.112.6Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
399.84.152.10Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3142.251.13.97Google · CDNUnited States
AS15169Google LLC
313.125.68.203Aws · CLOUDSouth Korea
AS16509Amazon.com, Inc.
33.35.148.135Aws · CLOUDIncheon, Incheon, South Korea
AS16509Amazon.com, Inc.
32.22.144.145Akamai · CDNSlough, England, United Kingdom
AS20940Akamai International B.V.
323.36.163.35Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
23775--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14284A5361102E02E762BCCA4A1B3FF9F700BD52BD6A65B68D27CA57E22C3D758D31194

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:A0phURGPap5rkTuOgR38WAaLf+b5HJKOBY65bGvLH:A0phURuhTuOgzLfs5HJKOBY6a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:388802:g5yMCHoJAsUBRCoGBqBDEQuBGEMFoFXIjSICEnqEGWJzhCyKBWQHSSZw4oMGARBmXgEAGTiqoQ45kxFcEhyLAYBVDAxghhIX

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:cfffe7e7e7e7e7fd
Perceptual Hash:f39cd83373332891
Difference Hash:19210e4f4f4f0a2b
Wavelet Hash:80cfe7a3e1e1e2a1
Color Hash:#46931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data