Phishing Analysis
Detailed analysis of captured phishing page
Visual Capture
Detection Info
https://ughfjdu-ten.vercel.app/login
Detected Brand
Netflix
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
fad34594-0c9โฆ
Analyzed
2026-02-11 00:05
Content Hashes (HTML Similarity)
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B873F8A83919F5175AB343A710DF14037378122B540D4D60B250FD9EB6BCC9AB16BFEA |
|
CONTENT
ssdeep
|
1536:BxtBlUuRNka2wblHbJLwLIz9GguGOjjRnY:XtJrX2wd9W/guGO+ |
Visual Hashes (Screenshot Similarity)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cce9a2368dc9de60 |
|
VISUAL
aHash
|
fb01f8781a06c27e |
|
VISUAL
dHash
|
2387f3f2b62c8ee4 |
|
VISUAL
wHash
|
fb03f8781a06c27e |
|
VISUAL
colorHash
|
30400030000 |
|
VISUAL
cropResistant
|
2387f3f2b62c8ee4 |
Code Analysis
Risk Score
71/100
Threat Level
ALTO
โ ๏ธ Phishing Confirmed
๐ฃ Credential Harvester
๐ฃ OTP Stealer
๐ Obfuscation Detected
- fromCharCode
- unicode_escape
๐ฏ Kit Endpoints
- https://ughfjdu-ten.vercel.app/_next/static/chunks/117-8da57966bdd63c53.js
- http://n
- https://nextjs.org/docs/app/api-reference/functions/unstable_cache`);if(e.dynamicShouldError)throw
- https://ughfjdu-ten.vercel.app/_next/static/chunks/145-79cf2224e3b5e4f0.js
- https://ughfjdu-ten.vercel.app/_next/static/chunks/app/login/page-481ee601ac8222c1.js
- https://nextjs.org/docs/messages/ppr-caught-error`;e.dynamicAccesses.push({stack:e.isDebugSkeleton?Error().stack:void
- https://nextjs.org/docs/app/api-reference/functions/use-search-params#updating-searchparams
- https://a@b
- https://nextjs.org/docs/messages/next-dynamic-api-wrong-context
- https://ughfjdu-ten.vercel.app/_next/static/chunks/main-app-2dcde4753ea0d175.js
- https://ughfjdu-ten.vercel.app/_next/static/chunks/fd9d1056-1f9bd2c1b1f9ce48.js
- https://react.dev/errors/
- https://nextjs.org/docs/messages/invalid-images-config
- https://ัะตัั
- https://ughfjdu-ten.vercel.app/_next/static/chunks/polyfills-42372ed130431b0a.js
- https://a
- https://nextjs.org/docs/messages/next-image-missing-loader
- https://a/c%20d?a=1&c=3
- https://x
- https://use.typekit.net/
- https://vercel.live/_next-live/feedback/feedback.js
- /_next/image?url=%2Flogo.png&w=256&q=75
- https://nextjs.org/docs/messages/dynamic-server-error`);throw
- https://nextjs.org/docs/app/building-your-application/rendering/static-and-dynamic#dynamic-rendering`);if(e.prerenderState)h(e.prerenderState,t,n);else
- https://a#ะฑ
- https://ughfjdu-ten.vercel.app/_next/static/chunks/webpack-616e068a201ad621.js
๐ก API Calls Detected
- /api/telegram
๐ Risk Score Breakdown
Total Risk Score
100/100
Contributing Factors
Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer
Credential Harvesting
Credential harvesting detected with 1 form(s) capturing sensitive data
Code Obfuscation
JavaScript code obfuscated using 14 technique(s) to evade detection
๐ฌ Comprehensive Threat Analysis
Threat Type
Two-Factor Authentication Stealer
Target
Netflix users
Attack Method
credential harvesting forms + obfuscated JavaScript
Exfiltration Channel
Form submission (backend endpoint not detected - likely JavaScript-based)
Risk Assessment
HIGH - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)
โ ๏ธ Indicators of Compromise
- Kit types: Credential Harvester, OTP Stealer
- 14 obfuscation techniques
๐ข Brand Impersonation Analysis
Impersonated Brand
Netflix
Official Website
https://www.netflix.com
Fake Service
Account login portal
โ๏ธ 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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
๐ Infrastructure Indicators of Compromise
๐ฆ Malicious Files
Main File
fd9d1056-1f9bd2c1b1f9ce48.js
File Size
๐ฌ JavaScript Deep Analysis
Operator Language
English (1%)
Total Code Size
422.3ย KB
๐ API Endpoints Detected
Other
9
๐ Obfuscation Detected
- : Heavy
- : Light
- : None
- : Light
- : None
- : Moderate
- : None
๐ค AI-Extracted Threat Intelligence
๐ฏ Malicious Files Identified
Main Drainer
fd9d1056-1f9bd2c1b1f9ce48.jsFile Size
422KB
Similar Websites
Pages with identical visual appearance (based on perceptual hash)
Scan History for ughfjdu-ten.vercel.app
Found 4 other scans for this domain
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