Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1485340E44363D53AD062C6E022B95F1F33DDB28DEAD6078243EC83B65BEAC94F814556 |
|
CONTENT
ssdeep
|
768:Ut89oApL/Bw8pSuaUAJQN8lE+YVCWMRdM+l5OZikMSqVKwUMwtsuVawjoSjranaK:HhxS4AmN8lE+YVCWMRdM+l5OZikMZLU2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d52552a557a157a5 |
|
VISUAL
aHash
|
3ff87afafa6afffc |
|
VISUAL
dHash
|
c20a8a02029ad960 |
|
VISUAL
wHash
|
3e3032320a0afdfc |
|
VISUAL
colorHash
|
070c0018000 |
|
VISUAL
cropResistant
|
c20a8a02029ad960 |
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 14 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.