Security Scan Report: liveeee365.dothome.co.kr

Submitted: Completed: publiccompleted
This website contacted 6 IPs in 3 countries across 5 domains to perform 7 HTTP transactions. The main domain is dothome.co.kr and was registered 22 years ago.

Submitted URL: https://liveeee365.dothome.co.kr

The Cisco Umbrella rank of the primary domain is #712,119 of the top 1 million websites

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Phishing page impersonating Microsoft's Spanish sign-in page on a free-hosting subdomain, capturing email and password; confirmed by Google Safe Browsing social-engineering detection. Do not enter credentials.

Risk Factors (5)
Google Safe Browsing social-engineering/phishing detection
Impersonation of the Microsoft brand on a non-Microsoft domain
Credential capture form (email + password) presented as a Microsoft account login
Hosted on free shared hosting subdomain with no relation to the impersonated brand
Mimics a legitimate service, including localized Microsoft login copy and help/terms footer
Domain age information unavailable

Details

Page Title

Cuenta de Microsoft - Iniciar sesión

Scan Type

public

Domain Name Analysis

The domain name 'liveeee365.dothome.co.kr' uses the South Korean country-code top-level domain (.co.kr); it also runs on subdomain 'liveeee365'. The registrable portion 'dothome' spans 7 characters containing 3 vowels alongside four consonants. Word splitting yields 2 words: dot, home. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

BE Microsoft Iniciar sesi6n Correo electrénico, teléfono o Skype Introduce tu correo, teléfono 0 Skype | ° 2140 puede acceder a su cuenta? ‘Ayuda y comentarios Términas de uso...

Page Load Overview

2.72s
Total Load Time
571 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:639 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software49% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
49%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2112.175.185.135Seongnam-si, Gyeonggi-do, South Korea
AS4766Korea Telecom
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1184.24.77.34Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.52.181.212Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
76--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6C2435E24F304216953A1A867EB57067160E0039C45DD283FAC838D5F8FE9EFA72B9D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:HI9FFUF5FIipFqFCQFxFegA3pSLWUq1SjZIzb:2aL1ARHtA3QLS1SjZIf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27605:EEtBABAMNiuWHFBUKOKSCNJWGnuhUUkDRiVABshIoigpIBwStIiQwIRJwCbkAhcA5kAprUBRiDCGgkAoCSSWLDqgnhBEpBOk

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:001838fcfa980000
Perceptual Hash:ddc222bde6528da1
Difference Hash:4c3032303232304e
Wavelet Hash:00b8fcffffda0800
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data