Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18893857261839C374163C2D0F2766B1DA1C9A30DCA120D56F7FD876AAFDAD64FC291A0 |
|
CONTENT
ssdeep
|
1536:zSUB44xJrVZvHvPWWMlZiUhnBynS46RuWWic8/pfln9lzNI1Oqe+jVQZLazVZvHm:3JHCusT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f9f1d387c6926811 |
|
VISUAL
aHash
|
ffeec9c101030fe4 |
|
VISUAL
dHash
|
cc9a13b333234c0c |
|
VISUAL
wHash
|
ffecc9c101030ff4 |
|
VISUAL
colorHash
|
07010000480 |
|
VISUAL
cropResistant
|
cc9a13b333234c0c |
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 113 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.