Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD4341329544213B423716CDF0AA7B5EE1D3C34ECA4348A0B3EC97D64BD7D90E96E929 |
|
CONTENT
ssdeep
|
1536:gnFzO1dzEhtDkqHcqtj3XcdMjBs6NqtpJvhGgBJYmqzDeLJGkIul8s5r98X3oRTQ:gnM1WnkhbfOe+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93ede12cb42cb931 |
|
VISUAL
aHash
|
337c2c340c1c046c |
|
VISUAL
dHash
|
42c8c8ccdcfccccc |
|
VISUAL
wHash
|
03782e7e3e3e046e |
|
VISUAL
colorHash
|
31000007000 |
|
VISUAL
cropResistant
|
42c8c8ccdcfccccc |
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 1543 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.