Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B882557360905C2E42BBC1D8B925FB5DE183968FDADD09D5A2DC4B1A1FC6EB0F812523 |
|
CONTENT
ssdeep
|
192:J/7QnzpoljSkZAzE+ydPaU3qbwcHgr+WyZFFkJjka6zA:Jjkzpo4WdPaUaL0Y1zA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1646564869b9b9b |
|
VISUAL
aHash
|
c3c3ffffc3ffffff |
|
VISUAL
dHash
|
1696101c96161e1a |
|
VISUAL
wHash
|
81c3cbc3c3c3c3cb |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
1696101c96161e1a,c02030c888906080,00081671694c1000 |
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 12 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.