Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C2137A050AC495F020297E0B7D177797A57454A8F913D5805F186DEC7E9FC1CA268C6 |
|
CONTENT
ssdeep
|
24:haWLN/+TN/0A5PZcpQMHWdkklraWd6Nv92C4IuuW/bb8wEP4:xNmTNMqBcpjWPaWcR914ISbzEw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33ec5c5d56a2a2a |
|
VISUAL
aHash
|
f4ff00f8fcfcfcfc |
|
VISUAL
dHash
|
c8c841c0c0c0c0c0 |
|
VISUAL
wHash
|
e0fe00f8f8f0f0f0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
c8c841c0c0c0c0c0,0000101010100000 |
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 13 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.