Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A131D71A800ED3B41CBAAC99632572AB2F68345C6530689F9F5C3F91BDFC69CA33115 |
|
CONTENT
ssdeep
|
384:xIjrsJO5xVZjqTS83qQCnUb8/U8CmxfroUa875odSiDbf:GjrsIx/j2GJsPmxcUf75odbX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec1313be343638 |
|
VISUAL
aHash
|
fffbfbfbff000000 |
|
VISUAL
dHash
|
2323372725c8c8e5 |
|
VISUAL
wHash
|
bbfbf3f1ff000000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
26433337372727c1,0100000000000001,270715939787b571,643777675b183c33,32c8c8c8c874c5c1 |
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 39 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.