Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1131284316110243F9A2B2BC9B332376E71F7E3ADD9635580D3F81BE52BD2C91E826142 |
|
CONTENT
ssdeep
|
192:w8euUuiGuyimDK65FYwOwneIC9TmwTcM0BNeyqg3GJW9:w8euhiKzvYwOwjC9Hd+qIGJS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a95652a9ad5ca95a |
|
VISUAL
aHash
|
0024000303030003 |
|
VISUAL
dHash
|
8c4c300b0b0b04c6 |
|
VISUAL
wHash
|
4bc30f03c3c3c043 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
8c4c300b0b0b04c6,4545495555494541,45506c7930164145 |
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 159 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.