Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE64C4E571A059FB66DF0464B200F399A29C9B14F98F5A0E73508B1FB7DEC63C9621B0 |
|
CONTENT
ssdeep
|
3072:DY2gqESuEhj1WU0htFWU0h5WU0hAWU0h58Q4Od9oVuTnymTokmN6CstZ9GnaM8:8nqESuEnow3CnF0zxstZ9GnaM8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3833c1c2d6de1c7 |
|
VISUAL
aHash
|
337f7f607c0c0000 |
|
VISUAL
dHash
|
46cdc9dac8d8e812 |
|
VISUAL
wHash
|
777f7f677c0c0000 |
|
VISUAL
colorHash
|
30001000180 |
|
VISUAL
cropResistant
|
46cdc9dac8d8e812 |
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 42 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.