Security Scan Report: hades-cerberus.v.daum.net

Redirected to:
https://news.daum.net/
Site favicon
Submitted: Oct 3, 2026, 8:47:11 PMCompleted: Oct 3, 2026, 8:48:09 PMpubliccompleted

This website contacted 16 IPs in 3 countries across 12 domains to perform 132 HTTP transactions. The main domain is news.daum.net and was registered 12 years ago.

Submitted URL: https://hades-cerberus.v.daum.net

Effective URL:

https://news.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: 93%

0
Risk Score

Daum's own news portal: an old (1996), well-ranked daum.net subdomain redirecting to news.daum.net. No forms, no Indicators of Compromise, no malware — legitimate.

Safety Factors (5)
Domain ~30 years old with strong Cisco Umbrella ranking (16,623).
Redirect terminates on the brand's own official domain (news.daum.net), matching the displayed brand 다음뉴스.
No credential, payment or login forms present.
No threat-intelligence, YARA, kit-roster or Safe Browsing hits.
Self-branding consistent with the domain (no impersonation of a third party).
Domain age information unavailable

Details

Page Title

다음뉴스 | 홈

Scan Type

public

Domain Name Analysis

The domain name 'hades-cerberus.v.daum.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'hades-cerberus.v'. The core label 'daum' covers 4 characters holding two vowels versus 2 consonants. It segments into 1 word: daum. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hades-cerberus.v.daum.net

Page Load Overview

16.30s
Total Load Time
3.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ko
Text Length:5,847 chars
Detector Agreement:50%

Website Classification

Primary Category

finance banking58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
58%
news media journalism
52%
corporate business
48%
technology software
40%
government public service
25%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12121.53.104.23South Korea
AS38099Kakao Corp
8121.53.106.10South Korea
AS38099Kakao Corp
8211.249.220.5South Korea
AS7625Kakao Corp
823.48.23.141Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
823.48.23.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
823.48.23.176Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8203.133.191.39South Korea
AS18160Kakao Corp
8184.24.77.178Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8184.24.77.190Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
823.48.23.178Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13216--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12784FAB1C3D214AD1A53E3C4B6B07798D1CDAD7BDF438894EAD80B40D9A38E364C7669

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:5Yhth6TiH1kBZjyZu15taEUAPj4u4u1nCg:52ulNN1P

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:388493:QIgAkBAANAokIhAUKCCKIQEAJopJEEnXB4AUIQKRAAFz0JmCCIAEMoABkRGhSQqJUtIuMim6kIgyBSAlGHiUAEABaFRABcOD

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:ffff8191898989ff
Perceptual Hash:bd8cc393943c692b
Difference Hash:24e433332b3b2b7b
Wavelet Hash:beff8181898189f9
Color Hash:#2d864f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data