Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132D2E96C52011E3F12174AEAA260F72DD0BA9389DF2FE909B3F9117717CDC95E9221E4 |
|
CONTENT
ssdeep
|
768:MM8KWYunS/goboaoX36JbJaJ+ohhuzfRtRxRpRGR9RlRRRaR/RURwSk9X3z:MQaGgCjnpYgMObnbkfvHM9+0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb69c5056a561abc |
|
VISUAL
aHash
|
bdfb81818100ffff |
|
VISUAL
dHash
|
7a1333133b3b606b |
|
VISUAL
wHash
|
3ceb81818100ffff |
|
VISUAL
colorHash
|
0f000000183 |
|
VISUAL
cropResistant
|
601b333713130b3b,c42b79603b742b6b,000040232b2081c0,23056ca99dbdb424,33371b13132b3bbb |
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 8 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.