Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E83A5B0C090216F55178FF7E66077AA60EB539CD972986093BC0F6DEB9AED48F11483 |
|
CONTENT
ssdeep
|
1536:jarwfXqU+A/BZZx4hQeXnKU5l8yzLdOla8O:jyUTBO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6633993393cc66 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
4db2b2b2b2b2b204 |
|
VISUAL
wHash
|
003cfc7c3c3c3c00 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
cca90b3a8cccb296,4db2b2b2b2b2b204 |
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 45 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.