Phishing Analysis
Detailed analysis of captured phishing page
Visual Capture
Detection Info
https://zh-netflix.cn/
Detected Brand
Netflix
Country
Unknown
Confidence
95%
HTTP Status
200
Report ID
0c0db550-234β¦
Analyzed
2026-08-04 22:23
Content Hashes (HTML Similarity)
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA62E77240485D3B116383FE6BA47F5A6393808582FA5BA2D2F4133D5AD0F16D87B787 |
|
CONTENT
ssdeep
|
384:DoBGwttgwEZsUYgTSpwYRvtMCTcv4cktxZnG5av0mAT:EBGwvgwEZpYgmpwYFtMCTcv4cktG5avg |
Visual Hashes (Screenshot Similarity)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b645093dc6c33d1d |
|
VISUAL
aHash
|
020207f7e7870001 |
|
VISUAL
dHash
|
d60e0ccc0c0c1f1f |
|
VISUAL
wHash
|
220307f7c7c703cf |
|
VISUAL
colorHash
|
38000000006 |
|
VISUAL
cropResistant
|
d60e0ccc0c0c1f1f |
Code Analysis
Risk Score
12/100
Threat Level
ALTO
β οΈ Phishing Confirmed
π Obfuscation Detected
- eval
- unescape
- hex_escape
- unicode_escape
π‘ API Calls Detected
- https://fezhx.com/api.php
π Risk Score Breakdown
Total Risk Score
40/100
Contributing Factors
Code Obfuscation
JavaScript code obfuscated using 34 technique(s) to evade detection
π¬ Comprehensive Threat Analysis
Threat Type
Netflix Phishing Landing Page
Target
Netflix users
Attack Method
obfuscated JavaScript
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)
β οΈ Indicators of Compromise
- 34 obfuscation techniques
π’ Brand Impersonation Analysis
Impersonated Brand
Netflix
Official Website
https://www.netflix.com
Fake Service
Credential harvesting service
βοΈ 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: JavaScript Obfuscation
Malicious code is obfuscated using 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
π Infrastructure Indicators of Compromise
Domain Information
Domain
zh-netflix.cn
Registered
2026-07-24 15:35:34+00:00
Registrar
εδΊ¬ζ°η½ζ°η δΏ‘ζ―ζζ―ζιε
¬εΈ
Status
Recently registered (11 days old)
Hosting Information
Provider
εδΊ¬ζ°η½ζ°η δΏ‘ζ―ζζ―ζιε
¬εΈ
ASN
π€ AI-Extracted Threat Intelligence
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