Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C618321604C3D379283D5D8A3D9672E315B8382C6060B1497F883AECBE9F55CE113ED |
|
CONTENT
ssdeep
|
48:TGfNmTNMectZ5FR95tZjkH+f1EgW6p+FuxKSPbdyrqZ:TGUu9TPZN1fpxxrx9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b35d4c771919664c |
|
VISUAL
aHash
|
00ffffffffe7ffff |
|
VISUAL
dHash
|
03000848484d3008 |
|
VISUAL
wHash
|
000c1f0f1f071f0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
002008504c4d300c,008140434b038000 |
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 24 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.