SafeMode - Analysis: webfun.website

Captura Visual

Información de Detección

https://webfun.website/landingpages/3143c33f-6085-4174-a7f4-66ccd85e3b97/hqkq7rmkn4dswtoierz11pn8wbucoxpj7rno3gc-nne

Detected Brand

Microsoft

Country

Unknown

Confianza

100%

HTTP Status

200

Report ID

6155a0af-707…

Analyzed

2026-04-24 22:15

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1A56140302461216A035B0EEAB4FA7B0E71ABC35DCA431454769D93E16FF7EE4FC192A4
CONTENT ssdeep	96:TqZeEMBV5Jke4Nbt6lS4I0sc+3Cbw/gnJmSQ:2eEVNYlSuuag

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	9992e7cd4c661837
VISUAL aHash	ffff3e1818180000
VISUAL dHash	f0f8f8b2b2b2ccb2
VISUAL wHash	ffffff1c18180800
VISUAL colorHash	1bc00008000
VISUAL cropResistant	e0e0f0f0f0f0f070,b2e0f033339080aa,f0f8f8b2b2b2ccb2

Análisis de Código

Risk Score 50/100

Nivel de Amenaza ALTO

⚠️ Phishing Confirmed

🎣 Credential Harvester

🔐 Credential Harvesting Forms

📤 Form Action Targets

/landingpages/383f1f74-582e-4e0d-84e4-ac21f2aca1d5/hqkq7rmkn4dswtoierz11pn8wbucoxpj7rno3gc-nne

📊 Desglose de Puntuación de Riesgo

Total Risk Score

70/100

Contributing Factors

Active Phishing Kit

Detected kit types: Credential Harvester

Credential Harvesting

Credential harvesting detected with 1 form(s) capturing sensitive data

🔬 Análisis Integral de Amenazas

Tipo de Amenaza

Credential Harvesting Kit

Objetivo

Microsoft users

Método de Ataque

credential harvesting forms

Canal de Exfiltración

HTTP POST to backend

Evaluación de Riesgo

MEDIUM - Automated credential harvesting with HTTP POST to backend

⚠️ Indicators of Compromise

Kit types: Credential Harvester

🏢 Análisis de Suplantación de Marca

Impersonated Brand

Microsoft

Official Website

https://www.microsoft.com

Fake Service

Credential harvesting service

⚔️ Metodología de Ataque

Primary Method: Credential Harvesting

Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.

Secondary Method: Client-Side Form Interception

JavaScript intercepts form submissions before they reach the fake backend. This allows real-time credential harvesting and validation without server round-trips.