SafeMode - Analysis: deepthi0718.github.io

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Visual Capture

Detection Info

http://deepthi0718.github.io/Netflix-landing

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

80731485-650…

Analyzed

2026-04-12 10:54

Final URL (after redirects)

https://deepthi0718.github.io/Netflix-landing/

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T179A1222640854AA757C343B1BB62AB6AF74591C0DB67630838F9C30FBFD6E04CD562E2
CONTENT ssdeep	96:TsU4RtK6Og9cwAhUo3VzarMo3VzHo3Vz8o3VzTo3Vzzo3VIkDoYmU9:QffKi9cG8Z8L8o8H8f8IuoYmK

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	cc3333cd3127cd31
VISUAL aHash	01000018183c1800
VISUAL dHash	02200030b2706000
VISUAL wHash	8300003c3c3c0000
VISUAL colorHash	38000000007
VISUAL cropResistant	80c080c040c08080,02200030b2706000

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.