Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1646320B1C695213B02278EE4B4706B4F72E3C31DDE67891157FC878E6FEAC94EA05489 |
|
CONTENT
ssdeep
|
1536:v4DAoy9ObtmohIgAHJUBpNxmkaGntpoyxiGaUAWj:v4EgzEa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf63809cc89e75a2 |
|
VISUAL
aHash
|
ffc181e1ff8e8fe3 |
|
VISUAL
dHash
|
650b0b0b262e2c0b |
|
VISUAL
wHash
|
ffc181e1838e8f83 |
|
VISUAL
colorHash
|
07e00008000 |
|
VISUAL
cropResistant
|
650b0b0b262e2c0b |
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 24 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.