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Phishing Analysis

Detailed analysis of captured phishing page

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Visual Capture

Screenshot of nnange.github.io

Detection Info

https://nnange.github.io/netflix-clone/
Detected Brand
Netflix
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
88843381-a3b…
Analyzed
2026-04-07 13:19

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1BCF29AB9895900FBB60AB7C0A4032729ADD1CD2F55924E0C93BADBD0EFE6CB5C55D720
CONTENT ssdeep
192:+q3A/7aW7Qq1ruB9OGEprui9RJ6kctVXhQ/Efq8BJwObqfwY6SP/:+3RcLep3RJktVXhNLbkwYnP/

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
9e9c9d1a2a6b4587
VISUAL aHash
1efe3e8021000002
VISUAL dHash
383066496d1d5c44
VISUAL wHash
9effbea4b5840026
VISUAL colorHash
31403000000
VISUAL cropResistant
ec2cf2e8e834a5e9,24a6f464f0e16363,383066496d1d5c44

Code Analysis

Risk Score 95/100
Threat Level ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester 🎣 OTP Stealer

🔒 Obfuscation Detected

  • fromCharCode
  • unescape

📊 Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer
Code Obfuscation
JavaScript code obfuscated using 10 technique(s) to evade detection

🔬 Comprehensive Threat Analysis

Threat Type
Two-Factor Authentication Stealer
Target
Netflix users
Attack Method
obfuscated JavaScript
Exfiltration Channel
Form submission (backend endpoint not detected - likely JavaScript-based)
Risk Assessment
CRITICAL - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

⚠️ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer
  • 10 obfuscation techniques

🏢 Brand Impersonation Analysis

Impersonated Brand
Netflix
Official Website
https://www.netflix.com
Fake Service
Credential harvesting service

⚔️ Attack Methodology

Primary Method: Credential Harvesting

Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.

Secondary Method: JavaScript Obfuscation

Malicious code is obfuscated using 10 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Infrastructure Indicators of Compromise

Domain Information

Domain
nnange.github.io
Registered
Unknown
Registrar
Unknown
Status
Hosting platform (subdomain)

Hosting Information

Provider
Unknown
ASN

🤖 AI-Extracted Threat Intelligence

😰
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