Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D13667462445A7F60C386E1F731BB2EF2B5C286DA17C65DA2F8C2656BCAC08CD52394 |
|
CONTENT
ssdeep
|
768:b9fOtM4KN6fYaYcLPKU6fvPdSx6uFNc/E0A9wbu7teqjEdKg:uZfg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee363b171d0745c2 |
|
VISUAL
aHash
|
0080f0f0f0f0f9f9 |
|
VISUAL
dHash
|
2929a52563666393 |
|
VISUAL
wHash
|
00c0f4f0f0f0fbf9 |
|
VISUAL
colorHash
|
07006200040 |
|
VISUAL
cropResistant
|
1a91692939292894,98ccce82ea6c66ed,e0a08081a0382c38,1f3b35b45cf4d72e,d3d3e2d2d2e2d2d2,2929a52563666393,e743912004435303 |
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 22 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.