Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DBF264315151BE3702A3A6D2B276570FB3E28204DE930349A6F9C39D2FDACA0DC1775A |
|
CONTENT
ssdeep
|
768:UnaHkBw44BWeeeeeeeVeeeaRUy5AaSSHkS5SjMd406mD:MaHN440eeeeeeeVeeeavSSES5SjKD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e19cb9c18ed0aace |
|
VISUAL
aHash
|
ff00000070606001 |
|
VISUAL
dHash
|
8e8e11c4c4c3d42b |
|
VISUAL
wHash
|
ffff007070716303 |
|
VISUAL
colorHash
|
30207000000 |
|
VISUAL
cropResistant
|
24003938ea930000,8e8e31c4c4c3d42b |
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 25 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.