Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16041927232D4C86A4DE3C297B6D1AE151881522FDA059C8181AB52ED1BD2FF7FD0038F |
|
CONTENT
ssdeep
|
24:hRfA2KGhFA7eC/sh7qA7eC/shGA7eC/shSqA7eC/shH7f/sh7D7f/shH7f/shSDs:TYpGvXlqXoXoqXKl0KohBL7MyIiHAKi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a69a89cccc736666 |
|
VISUAL
aHash
|
bf3f2727a7e7e7ff |
|
VISUAL
dHash
|
706c4c4d4d4d4ec6 |
|
VISUAL
wHash
|
3f1f07070303e3e7 |
|
VISUAL
colorHash
|
07003200080 |
|
VISUAL
cropResistant
|
706c4c4d4d4d4ec6 |
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 423 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.