SafeMode - Analysis: saiffarid-dev.github.io

Visual Capture

Detection Info

https://saiffarid-dev.github.io/netflix-clone/

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

e99610cb-b6e…

Analyzed

2026-08-01 22:13

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T117A163754085077B5FC3A7B27BA0CB6AB7848180FA65670C28E6C70FAFD9E08CE065D1
CONTENT ssdeep	96:TVCrWHxKHs97wVAh81Na9k1NR1N01NF1Nl1WMK2og6Mp:p9RKM97wT1l131y131L1WM3ogRp

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	cc6532cd7131ce33
VISUAL aHash	423060d83c3c0705
VISUAL dHash	8664aeb272602c0d
VISUAL wHash	c67070da3e3e8707
VISUAL colorHash	39e00000000
VISUAL cropResistant	80c0804040800098,8664aeb272602c0d

Code Analysis

Threat Level ALTO

⚠️ Phishing Confirmed

📊 Risk Score Breakdown

Total Risk Score

70/100

Contributing Factors

Credential Harvesting

Credential harvesting detected with 2 form(s) capturing sensitive data

🔬 Comprehensive Threat Analysis

Threat Type

Netflix Credential Harvester

Target

Netflix users

Attack Method

credential harvesting forms

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: Netflix Credential Harvesting

Fake Netflix login page with 2 forms. Victim enters credentials which are captured and transmitted to attacker's server. Page may impersonate Netflix official login to appear legitimate.

Secondary Method: Standard Phishing Techniques

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