SafeMode - Analysis: danielfromtheweb.github.io

Visual Capture

Screenshot of danielfromtheweb.github.io

Detection Info

http://danielfromtheweb.github.io/NetflixClonePage

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

56c8fd2a-64e…

Analyzed

2026-06-21 10:23

Final URL (after redirects)

https://danielfromtheweb.github.io/NetflixClonePage/

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T189A1BE7230C431BF06D7A7EE1A24BB5AA3F280A6C7664E4425E58B4F5F97E44CC13197
CONTENT ssdeep	48:TYr6vTptJJPSIoIzByphsB3B6gDfLBwX7uBpX6i9uj8qG8rWhT1lFyyuKQM0uGXf:TkjphsagDfiX7ytuOTbFwQgf

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	c4cc3c393949995f
VISUAL aHash	187e7e7e7e7e0000
VISUAL dHash	b2f0e0f0e8ccc0d4
VISUAL wHash	187e7e7e7e7e0000
VISUAL colorHash	180000001c0
VISUAL cropResistant	26e64839d4c42900,b2f0e0f0e8ccc0d4

Code Analysis

Threat Level ALTO

⚠️ Phishing Confirmed

📊 Risk Score Breakdown

Total Risk Score

40/100

🔬 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.