Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B73371736444643B132753C9F026771EF1A3930ECA9708A9B3FC8B934FE3D94991986A |
|
CONTENT
ssdeep
|
1536:46vA62FvhtQIi65350PcQ2kw2edD81quTa2jM7Kb0VOU3j9gOsN75Zdl49h2SURv:zyvlmZTa2jhDJVFeWyolfwHD1g4cXKTi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0789f2dc237f2e0 |
|
VISUAL
aHash
|
80006066e000007e |
|
VISUAL
dHash
|
44008c8c888040cc |
|
VISUAL
wHash
|
f700e6f66640187f |
|
VISUAL
colorHash
|
38080007000 |
|
VISUAL
cropResistant
|
44008c8c888040cc |
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 814 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.