Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE930BB59600B133632B15EB30AB17153179411ACE0B4D00A725EBE6EEFACD15A6B7CF |
|
CONTENT
ssdeep
|
768:bhMaHfFZmRd97flr3FOlI2/uperFQWv+M4yTMHeIv6RGz4gKBoUzqH4Je/uQg/A:FC9hr3F8IMWyTDJdQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c16c3cb5e194ce96 |
|
VISUAL
aHash
|
7e00706c6e6e0e4c |
|
VISUAL
dHash
|
929ee4c8c8ccdc98 |
|
VISUAL
wHash
|
ff00786c6e6e0e4c |
|
VISUAL
colorHash
|
39000008180 |
|
VISUAL
cropResistant
|
3939b66615962949,2b6b4c1191b195d5,21d3c3cdcdab5e54,2a2acbc9cdcc0c29,929ee4c8c8ccdc98 |
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 468 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.