Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CC2A5708051A93B8093C2E2E6715B2FB3D7924DCBA3424693F8C36E4FD2CE9DD52168 |
|
CONTENT
ssdeep
|
768:bw2eF4Bp81X8cG+licU444w+UFsRsYyVklXyqklcy7klQ+COife+:uhmcG+EcU444w+UFsRsYyV4yqTy7cCHx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8bada9299b477454 |
|
VISUAL
aHash
|
0333303c0c003c3c |
|
VISUAL
dHash
|
5b63645959587858 |
|
VISUAL
wHash
|
073f3c3c1c3c3c3c |
|
VISUAL
colorHash
|
30006000000 |
|
VISUAL
cropResistant
|
c8c89090a000a8cc,8200a2968c8e8282,a080a08e8e8ca0a4,5b63645959587858 |
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 6100 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.