Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAD2993C7A43386B687789C5E1805F34B4C3F776E25E968897E782046BEBCE09861774 |
|
CONTENT
ssdeep
|
768:vFhmwHFvTom2Dh+AArBW3+W5oMroOVJA3sjieftTzhBeC3D:vbUTA8vFVTzhBeC3D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd084a5f2262e2f7 |
|
VISUAL
aHash
|
0018ffffffffffff |
|
VISUAL
dHash
|
71f0aa9250505050 |
|
VISUAL
wHash
|
0018ffff888098ff |
|
VISUAL
colorHash
|
17208400008 |
|
VISUAL
cropResistant
|
71f0aa9250505050 |
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 51 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.