EN ES PT

Phishing Analysis

Detailed analysis of captured phishing page

Back to Stats

Visual Capture

Screenshot of afnansaqib52-cpu.github.io

Detection Info

https://afnansaqib52-cpu.github.io/-amazon-clone-
Detected Brand
Amazon
Country
Unknown
Confidence
95%
HTTP Status
200
Report ID
9bfaeae7-195…
Analyzed
2026-06-11 22:16
Final URL (after redirects)
https://afnansaqib52-cpu.github.io/-amazon-clone-/

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T15BA18974A0827E3B419BC6C15B25D76B72C865D4EF476B000BF663C8CBDFCA5E921A42
CONTENT ssdeep
48:Tt6q6TuuJJolFjDpYGo/5b3435aWB5lm5kkk5X0a5nmV25xKg5QvMm:TtmJJoDjDpZeQp7aCEY18WQ

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
9e194e46991edc4e
VISUAL aHash
08030f0f5ff630ff
VISUAL dHash
72dbdd5a9a646555
VISUAL wHash
08030f0f0ff6b0ff
VISUAL colorHash
06006000000
VISUAL cropResistant
82c282e26aa20282,dbdf19da9e646555,72dbdbfd195a5ada,49f6766663693926,4c9736666d595932,78d8f0a6a62c3c3d,616d6c5e5e1e7e7e,1b0d050d0d0d951d

Code Analysis

Risk Score 3/100
Threat Level ALTO
⚠️ Phishing Confirmed

🔒 Obfuscation Detected

  • document.write

📊 Risk Score Breakdown

Total Risk Score
40/100

Contributing Factors

Code Obfuscation
JavaScript code obfuscated using 1 technique(s) to evade detection

🔬 Comprehensive Threat Analysis

Threat Type
Amazon Phishing Landing Page
Target
Amazon 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)

⚠️ Indicators of Compromise

  • 1 obfuscation techniques

🏢 Brand Impersonation Analysis

Impersonated Brand
Amazon
Official Website
https://www.amazon.com
Fake Service
Credential harvesting service

⚔️ Attack Methodology

Primary Method: SEO Poisoning Landing Page

Fake Amazon page designed to appear in search results and trick users into visiting. May redirect to credential harvesting pages, malware downloads, or serve as a trust-building step before requesting sensitive information.

Secondary Method: JavaScript Obfuscation

Malicious code is obfuscated using 1 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Infrastructure Indicators of Compromise

Domain Information

Domain
afnansaqib52-cpu.github.io
Registered
Unknown
Registrar
Unknown
Status
Hosting platform (subdomain)

Hosting Information

Provider
Unknown
ASN

🤖 AI-Extracted Threat Intelligence

😰
"I Never Thought It Would Happen to Me"
That's what 2.3 million victims say every year. Don't wait to become a statistic.