Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6921971A3151275994743CDFFB6B3FEE2134099CA2A6ADCE369021D72C89EEC825DC1 |
|
CONTENT
ssdeep
|
384:QXoudNi+2VJCca/1FwSbZDYJAA8XsmMpBZ7eg/B:qoENi+2VJCcarwOUXm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb6ac4eb9192c485 |
|
VISUAL
aHash
|
ff8181818181ffff |
|
VISUAL
dHash
|
272307090b230bd2 |
|
VISUAL
wHash
|
ff8181818181bbff |
|
VISUAL
colorHash
|
1e006600000 |
|
VISUAL
cropResistant
|
272307090b230bd2,1fdfceaee6ced0e0,0339868c88c9caca |
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 487 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.