Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B432030A961992A01CFA6C99576471922B7C306DB0307EAF6F5C3F98BCED69CE33154 |
|
CONTENT
ssdeep
|
384:CSgKE+sJO5xVZjqTSLaNzHBJ5onJFJdRqd35yIFhmlfk+y2rjhHeTprh73X5oVLJ:CssIx/jmJHpklrtSH5CyF3cuUf7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b864c71fb84f2463 |
|
VISUAL
aHash
|
ffff00000000ffff |
|
VISUAL
dHash
|
2a93973339385930 |
|
VISUAL
wHash
|
ffff00000000ffff |
|
VISUAL
colorHash
|
020060000c0 |
|
VISUAL
cropResistant
|
c8222e2280200093,5900001080bab280,004020c8c8c03000,9397bf3339393c59 |
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 65 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.