Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B801F4728082DC2B85B1C561CEB5F34D36954580D25F07C066D4A3D90DC6EE6E8CB1C8 |
|
CONTENT
ssdeep
|
12:hRwOzoFK5imxFrXQy7FUAXPo6WFNV1pgQN70s6:hRuFjCxo6WLVYa0b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccd033ce66999c66 |
|
VISUAL
aHash
|
3c3c3c3c18181800 |
|
VISUAL
dHash
|
f0f0f0f0f0f0300c |
|
VISUAL
wHash
|
7e7e7e3c3c3c1800 |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
b24d8e960f37373b,96ccccd40b818404,8200104c4c081082,f0f0f0f0f0f0300c |
Fake BNB Chain site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.
Malicious code is obfuscated using 6 techniques to evade detection by security scanners and make reverse engineering more difficult.