SafeMode - Analysis: xwnsr.vip

Visual Capture

Detection Info

https://xwnsr.vip/

Detected Brand

Multiple (Sands, Bet365, Grand Lisboa, Suncity)

Country

Unknown

Confidence

95%

HTTP Status

200

Report ID

e77b398f-e11…

Analyzed

2026-05-29 10:24

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1B182C6B62295342B019B9AEDB52C734E61E7915ECF6B4E50BBF7E3C48FC0C81945221B
CONTENT ssdeep	192:AbgbcbkYmOqazMoqyERfeiQa77Ohm4PLGSJZFuAYqgClcCGF6Yb3pm:AEoaPtoqbeRa77OhhiSPngbCGjc

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	9e8663d96166d869
VISUAL aHash	1c3e3e3e183c0000
VISUAL dHash	e0e4e4ecb2f0ccf0
VISUAL wHash	7e7e7e7e3c3c0000
VISUAL colorHash	30206008000
VISUAL cropResistant	e0e4e4ecb2f0ccf0

Code Analysis

Risk Score 15/100

Threat Level ALTO

⚠️ Phishing Confirmed

🔒 Obfuscation Detected

eval
unescape
document.write
hex_escape
unicode_escape

📊 Risk Score Breakdown

Total Risk Score

40/100

Contributing Factors

Code Obfuscation

JavaScript code obfuscated using 37 technique(s) to evade detection

🔬 Comprehensive Threat Analysis

Threat Type

Multiple (Sands, Bet365, Grand Lisboa, Suncity) Phishing Landing Page

Target

Multiple (Sands, Bet365, Grand Lisboa, Suncity) users

Attack Method

obfuscated JavaScript

Exfiltration Channel

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

Risk Assessment

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

⚠️ Indicators of Compromise

37 obfuscation techniques

🏢 Brand Impersonation Analysis

Impersonated Brand

Multiple (Sands, Bet365, Grand Lisboa, Suncity)

Official Website

N/A

Fake Service

Credential harvesting service

⚔️ Attack Methodology

Primary Method: Malicious Landing Page

Uses Multiple (Sands, Bet365, Grand Lisboa, Suncity) branding to appear legitimate in search results, social media, or advertising networks. Designed to redirect victims to phishing pages or distribute malware while maintaining appearance of authenticity.