Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10713A7A020448F7F54D3C3F49378E66EE28AD3D4C7475684F2DA12982BE5CA2EC5A794 |
|
CONTENT
ssdeep
|
768:K4m4m4McD02jhP/vxwiE7IYlpQYA7OvquQoJTmmANFK1QgL1JNwk:HvxwiE7Tpi7OvquQoJTmLFK1hL1JNT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93396666389c98ee |
|
VISUAL
aHash
|
012c3c3c3c3c3c3c |
|
VISUAL
dHash
|
3148717169696d69 |
|
VISUAL
wHash
|
b92c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
39009000408 |
|
VISUAL
cropResistant
|
3148717169696d69 |
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 969 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.