SafeMode - Analysis: sawanpanchal.github.io

Visual Capture

Detection Info

https://sawanpanchal.github.io/Netflix1/

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

f6fdebb9-818…

Analyzed

2026-06-21 22:19

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1DCB142E451A1CA3B896787D26770777A23BAD2CAD68A030857FC47582BC1C4AED1F4C4
CONTENT ssdeep	96:TeYWIqGBJ5BI+Kj5TU4p94Wpwssterrr3rrr3rrr3rrrM:iYWIZ3dKjCy947sMerrr3rrr3rrr3rro

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	8ea26671c4d5d2cb
VISUAL aHash	b6353c7e3c0c0810
VISUAL dHash	64e9e9b471387a20
VISUAL wHash	f6773d7e3e0c0810
VISUAL colorHash	31c01008000
VISUAL cropResistant	64e9e9b471387a20

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.