Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3A2DE72B14101E702B7CAC1F971BE2AB263F30FD50A9115BAED82952FD3CB4B551A70 |
|
CONTENT
ssdeep
|
384:ZrLAyuoUdva3lAHe3pHYC0ZZ1UQFnAK329OKrN93KinB1KOf9fFyFOF9FLD52p7n:FYTF4WqnQpD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
996633364c1e6e39 |
|
VISUAL
aHash
|
0008183c3c3c3c3c |
|
VISUAL
dHash
|
0d1a323232283a32 |
|
VISUAL
wHash
|
00cb3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
0d1a323232283a32 |
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 359 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.