Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16023A42112091E3D621787D8F6A6B77891EEE389E21B952CB1BD02714B87DC8EC737C4 |
|
CONTENT
ssdeep
|
768:x2ghlWxBBDtVb+hVaLZNnD7HvFy7O4mR6i4yqGsklJerUn:VlWxBBDtVxLZNnFdR6i4yqGz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff8a7a20eb8aab08 |
|
VISUAL
aHash
|
81c0fcb800060280 |
|
VISUAL
dHash
|
039c787034560606 |
|
VISUAL
wHash
|
c1c4befcde878282 |
|
VISUAL
colorHash
|
38030000080 |
|
VISUAL
cropResistant
|
039c787034560606 |
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 81 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.