SafeMode - Analysis: hilmizuhdialfaiz.github.io

Visual Capture

Screenshot of hilmizuhdialfaiz.github.io

Detection Info

https://hilmizuhdialfaiz.github.io/belajar-2/

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

598f24c7-827…

Analyzed

2026-04-20 10:22

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T19D8102306080A62F02C3D2D633B55F05EBE9D242DE779706A3F683885FDBE06CC86609
CONTENT ssdeep	96:TMj7+mQm9l3ZqJ8IU3ZIVJ8L3ZqJ8XU3ZNL8M:oj7L19l2BUyfK2MU7LF

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	8eed326992318e9d
VISUAL aHash	4710be1839390004
VISUAL dHash	8fa360b373738dcc
VISUAL wHash	e7f1be383f390024
VISUAL colorHash	39401008000
VISUAL cropResistant	540082626a820082,e6cae667362b2b33,8fa360b373738dcc

Code Analysis

Threat Level ALTO

⚠️ Phishing Confirmed

📊 Risk Score Breakdown

Total Risk Score

70/100

🔬 Comprehensive Threat Analysis

Threat Type

Netflix Phishing Landing Page

Target

Netflix users

Attack Method

Phishing webpage

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)

🏢 Brand Impersonation Analysis

Impersonated Brand

Netflix

Official Website

https://www.netflix.com

Fake Service

Credential harvesting service

⚔️ Attack Methodology

Primary Method: Brand Impersonation Redirect

Impersonates Netflix to build victim trust through search engine manipulation or malicious advertisements. Often redirects to credential theft pages or serves malware disguised as legitimate software.

Secondary Method: Standard Phishing Techniques

Uses typical phishing tactics including brand impersonation, urgency tactics, and social engineering to trick victims into providing sensitive information.