SafeMode - Analysis: cq989737.tw1.ru

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Captura Visual

Información de Detección

https://cq989737.tw1.ru/nqs/

Detected Brand

BNL BNP Paribas

Country

Unknown

Confianza

100%

HTTP Status

200

Report ID

87e37d1c-7e3…

Analyzed

2026-06-09 04:39

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T14F51DD6220473537022743CCA6A73B19B0D7C636FB863B019EF4829A5BAAD50BD2955B
CONTENT ssdeep	48:c4OfTNmTNMeZC6BSZSZS4QXH7aeIix8mzPl+yltBtrBzNZ0XZwH69T+65R/adwBC:c41ZC6BSZSZS4w5BtzNZ0XZb9z5R/adh

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	87f0787e607e6078
VISUAL aHash	803f3f3f3f3f3f3f
VISUAL dHash	61e0e4e4e66668e8
VISUAL wHash	003f3f3313131f1f
VISUAL colorHash	06601000600
VISUAL cropResistant	61e0e4e4e66668e8,0000482327180100,18cdac98c9c3e37a,cec6e36868f0b635

Análisis de Código

Risk Score 70/100

Nivel de Amenaza ALTO

⚠️ Phishing Confirmed

🎣 Credential Harvester 🎣 OTP Stealer 🎣 Card Stealer

📊 Desglose de Puntuación de Riesgo

Total Risk Score

100/100

Contributing Factors

Active Phishing Kit

Detected kit types: Credential Harvester, OTP Stealer, Card Stealer

Credential Harvesting

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

🔬 Análisis Integral de Amenazas

Tipo de Amenaza

Banking Credential Harvester

Objetivo

BNL BNP Paribas users

Método de Ataque

credential harvesting forms

Canal de Exfiltración

Form submission (backend endpoint not detected - likely JavaScript-based)

Evaluación de Riesgo

HIGH - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

⚠️ Indicators of Compromise

Kit types: Credential Harvester, OTP Stealer, Card Stealer

🏢 Análisis de Suplantación de Marca

Impersonated Brand

BNL BNP Paribas

Official Website

N/A

Fake Service

Banking/payment 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.