Phishing Analysis
Detailed analysis of captured phishing page
Visual Capture
No screenshot available
Detection Info
https://sokpiseyyyy.github.io/amazon-signin
Detected Brand
Unknown
Country
Unknown
Confidence
70%
HTTP Status
200
Report ID
a923be75-027…
Analyzed
2026-01-03 10:11
Final URL (after redirects)
https://sokpiseyyyy.github.io/amazon-signin/
Content Hashes (HTML Similarity)
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10311E1F46040573B0AD25390BB66623D36D2C4D9DE8A2F0014E982FA0FB7B1CDC1A859 |
|
CONTENT
ssdeep
|
12:nwMy7F8Lp3P7konzfF14Qx143gFKLNFaSr1L4MoYAn9Hk2xUYlwa2Ls4DKP:n/CciobT1SNFpr10MdA9UYKa2LHD+ |
Visual Hashes (Screenshot Similarity)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3333389cccccccc |
|
VISUAL
aHash
|
e7e7e7e7ffffffff |
|
VISUAL
dHash
|
080c0c0c00000000 |
|
VISUAL
wHash
|
e4e4e4e4f0f0f0f0 |
|
VISUAL
colorHash
|
07e00008000 |
|
VISUAL
cropResistant
|
080c0c0c00000000 |
Code Analysis
Risk Score
50/100
🎣 Credential Harvester
Similar Websites
Pages with identical visual appearance (based on perceptual hash)
Scan History for sokpiseyyyy.github.io
Found 2 other scans for this domain
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