Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101A35DF43505B25B0A7343B770AE11077279522FD80F4C207358EA9A67F9C9AE06BBD9 |
|
CONTENT
ssdeep
|
1536:3xnJw28zodJRxBRkTmVmQ0KQ9ZmbU1RSs02ObI/i3UwLVCcuGOjjRn3:ZJR8zo7nPaod2OMdW5uGOt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4b4694b4b2f9670 |
|
VISUAL
aHash
|
02c7c707207e0040 |
|
VISUAL
dHash
|
868e1e36c0c4d496 |
|
VISUAL
wHash
|
f2e7c70f3c7e4040 |
|
VISUAL
colorHash
|
390000101c0 |
|
VISUAL
cropResistant
|
971f1e1c46444264,868e1e36c0c4d496 |
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 389 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.