Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DF32C32511219BF91678EECF6A17769A0AFC32EC98BDC09A3FD43D117C6C60ED61648 |
|
CONTENT
ssdeep
|
1536:8O4ECNoRlogkwDkJseNEe/eUegeNePenexesPeeexebeveweSeoetezejRMeWeOX:vEoRlogkwDkPfnR8oy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c83c37c9733d9461 |
|
VISUAL
aHash
|
02181a7c587c183c |
|
VISUAL
dHash
|
b4f0b4f090f0f0d8 |
|
VISUAL
wHash
|
1a1c1a7e587e187e |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
b4f0b4f090f0f0d8 |
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 198 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.