Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B52B8751110603FCB2B5AC576723B6E72F7E2EDDAA30480D3FC1BA52BD6CA1E826151 |
|
CONTENT
ssdeep
|
384:T8eSxbGlgmlrxGaGe32XwObY49au1ADQ/yIGJU:T8eIWgUrxxdWpbY27ADQwJU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a956c62939d6e952 |
|
VISUAL
aHash
|
ffffbf0b0b7bfcff |
|
VISUAL
dHash
|
4c98617b1b9b24d6 |
|
VISUAL
wHash
|
e4fc1e030b0bf873 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
4c98617b1b9b24d6,983636484dca49ed,404a54796a444040,110d31b3b34db101 |
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 159 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.