Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CD2C630F604AE3B528783E9F3A7679B72D49206C7431511A3F463689FD3EA5ED2B106 |
|
CONTENT
ssdeep
|
384:2KJSmfSUuf022wN7ijIJnqo4QizP9tw7IJ43zg4tahcHW3RMdGBK6+D:NSmfSUufmo4PgI2a+D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec74d392c7c64994 |
|
VISUAL
aHash
|
fec3d393bf9ff7d3 |
|
VISUAL
dHash
|
8836362626392433 |
|
VISUAL
wHash
|
fe8393939f1c1381 |
|
VISUAL
colorHash
|
07008000180 |
|
VISUAL
cropResistant
|
8836362626392433 |
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 444 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.