Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18081323C684805BB243BFAD1B8937DB46881B34ED2A9856FB7B901D49BD2D5CD5DC820 |
|
CONTENT
ssdeep
|
48:Txhg1Pc4Mesj3yy0ryJFVEwnGFEQJ71bhRr6NqMJhbdspNA5w1mAFPl4bAaWi+3C:T4sLy9EFV+Ff71bbK+tkQy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9966416166664f5f |
|
VISUAL
aHash
|
001f1f1f1f1f1f1f |
|
VISUAL
dHash
|
bc3c7e3f3eb83838 |
|
VISUAL
wHash
|
000f0f0f1f1f1f1f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
bc7e3e3e3eb83838,00c020202030c098,8c4d16b6336965e5 |
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 14 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.