Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119640994E36852FC5C0F43DDEA357864371F10FE76D1CE6885688EA0A683AE8DD49CC6 |
|
CONTENT
ssdeep
|
3072:gyx6CAhxZx+4JoItqg7wa6rfQL9AefD4Lnr3zoeJ6:I7wKD4Lnr3zoeJ6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d400fbab3fe6c141 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
0bd4d4e40c02230a |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
33000000180 |
|
VISUAL
cropResistant
|
88033323030a0a0f,032094d4f4e42c01 |
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 47 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.