Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9D2DE71B5433466D93BE0A0F4B61B18B097C739D2888558E3FD164ABFCACE05BB6364 |
|
CONTENT
ssdeep
|
768:34sbKAw158Yk5LfsTLfJpLfspLfJfLfoGrCtTzhBeC3D:O/yYk5LfsTLfJpLfspLfJfLforTzhBeu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa9515aa96bab478 |
|
VISUAL
aHash
|
3e2a809191910100 |
|
VISUAL
dHash
|
d4d2336525252500 |
|
VISUAL
wHash
|
1e28daff91bf9100 |
|
VISUAL
colorHash
|
38006000080 |
|
VISUAL
cropResistant
|
d4d2336525252500 |
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 16 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.