Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199D2B7B25114B57DE3034ECDA3B47F24628FA059DE9A8944AFED53E041E7EE0E54E60C |
|
CONTENT
ssdeep
|
768:KyWKVUpVN5JURNJUwm+eupC/jKUrNjiZN308tHQz3YdzydXoUVq8E3:OvcBONc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6c43c37b138393e |
|
VISUAL
aHash
|
4678707074700000 |
|
VISUAL
dHash
|
94c4c4c4c4c032c0 |
|
VISUAL
wHash
|
767e7e7e7e700000 |
|
VISUAL
colorHash
|
38000000c00 |
|
VISUAL
cropResistant
|
94c4c4c4c4c032c0 |
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 245 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.