Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE91FB705214A8AF4AC3FD86E4C2BE0A88B3C4EBD52D5CDD91B8099A0ED4FF181D47D6 |
|
CONTENT
ssdeep
|
96:QMKl3B2jZNhe2J1y/9+9M/GadoIZ0aDOZgddW3CgkmW3VMFgdP0gxX4tHr5btm5:QqjTzgQc3ZJPdak |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb494959d4b636a8 |
|
VISUAL
aHash
|
00000367ffffffff |
|
VISUAL
dHash
|
50b34fcc014c0008 |
|
VISUAL
wHash
|
00000107e7e7ffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
50b34fcc014c0008 |
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 1206 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.