Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B42E83092150D3AA21B9D94F6BAEB4F331B830BC64901785FF911F2D6CED74646DACA |
|
CONTENT
ssdeep
|
192:Xe3UF6l6Yj8ZSLn6n6gzRYfSle+6yt/9gnnifycdBhIHQrHKRzxEqZtHNePtHN67:wUF6l69ILn6n6g26xoNAk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d205a5d5d495d556 |
|
VISUAL
aHash
|
7e01001ef4ffffff |
|
VISUAL
dHash
|
c043c5f024820000 |
|
VISUAL
wHash
|
7e01001e00f8ffff |
|
VISUAL
colorHash
|
07000010480 |
|
VISUAL
cropResistant
|
c043c5f024820000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 429 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.