Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C922035A3415EEB62C3D3E2B6329F9DA5A6D347DA078659F3F8C2892BC6C94CC01350 |
|
CONTENT
ssdeep
|
384:Y0BecqDobOyhuIUOCPLnqu2SX4MpJPpkNhA81ADCd4fPAcm2:Y00cqDobOyhuSCzqubXXpJPpkNhA81A7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0e51f1d68e1a1f4 |
|
VISUAL
aHash
|
0390eae0c0ee0000 |
|
VISUAL
dHash
|
b2209283a3980000 |
|
VISUAL
wHash
|
93fcfef0e0fe8000 |
|
VISUAL
colorHash
|
38003080400 |
|
VISUAL
cropResistant
|
b2209283a3980000 |
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 39 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.