Security Scan Report: daum.net

Redirected to:
https://www.daum.net/
Site favicon
Submitted: Sep 13, 2026, 1:28:22 PMCompleted: Sep 13, 2026, 1:29:48 PMpubliccompleted

Summary

This website contacted 40 IPs in 3 countries across 27 domains to perform 2 HTTP transactions. The main domain is daum.net and was registered 2 years 10 months ago.

Submitted URL: https://daum.net

Effective URL: https://www.daum.net/Redirected

The Cisco Umbrella rank of the primary domain is #16,623 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate long-established Daum portal with self-branding, no credential/payment forms, and no threat-intel or malware evidence.

Safety Factors
Domain age 11,149 days (well-established).
Self-branding matches domain; no brand impersonation.
No credential or payment forms.
No Indicators of Compromise or JavaScript malware patterns.
High Cisco Umbrella ranking (top 100K).
Domain age information unavailable

Details

Page Title

Daum

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

news media journalism

(48%)

Domain Information

Domain 'daum.net' uses the network infrastructure generic top-level domain (.net) while skipping any subdomain. Its registrable label 'daum' stretches across 4 characters containing two vowels alongside two consonants. Segmentation suggests one word: daum. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://daum.net

Page Load Overview

14.10s
Total Load Time
296
HTTP Requests
27
Domains
5.5 MB
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:6,869 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism48% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
48%
adult content
41%
healthcare medical
37%
government public service
32%
gambling betting
28%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
232.16.168.208Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7192.178.183.155Google · CDNUnited States
AS15169Google LLC
7142.250.154.156Google · CDNUnited States
AS15169Google LLC
723.216.77.181Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
72.16.168.212Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
723.48.23.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7121.53.105.193South Korea
AS38099Kakao Corp
7211.183.212.21South Korea
AS152199Kakao Corp
7142.251.13.154Google · CDNUnited States
AS15169Google LLC
7142.251.127.132Google · CDNUnited States
AS15169Google LLC
29640--

Page Statistics

296
Requests
27
Unique Domains
5.5 MB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A3123B7E940940A877283825DF5F02CC191DA2A99968860F4DC0EDE0CE2FF3D4E322D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hD+ZJUo/omoBWXNCXV2Lv5OVo7noXM7usPgct42M7usPgctScxLDkJd6/G6Qakq9:Aoo/omoQc0LvcVozoc6D1r6DGLJPk0L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1590:gAAAAAhAAJAAAAABIAgAABAAEAAAAAAAAABgAgQIgAAABAABAAQAEAAEAAAAAAQEAAEEAIKIAAAAAAARAAAgAQAAAgAAAAAg

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:fffbff9f9f8fffc1
Perceptual Hash:b8c6639c339c31c7
Difference Hash:1432c23c3c3cb38b
Wavelet Hash:fffa780e0e0c7e00
Color Hash:#a379d2

Scan History

Scan history not available

Unable to load historical scan data