Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7932AA0365DF5765AB343D710EF2203B279152B540D0C20A364EDAE62ADC9AB077FDA |
|
CONTENT
ssdeep
|
1536:XKNg3AaX1WCqiCTVq53QSoHxh8N6FmbXhjaPnQsR+cuvBlqF:XKNbTjzmN6UbtZRBli |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33ec13c39693cc3 |
|
VISUAL
aHash
|
007c7c2424007878 |
|
VISUAL
dHash
|
8dc8cdc9c9f0d0d0 |
|
VISUAL
wHash
|
407e7c7c7c007c7c |
|
VISUAL
colorHash
|
38030000600 |
|
VISUAL
cropResistant
|
8dc8cdc9c9f0d0d0 |
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 160 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.