Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D427270B211E67F022389DEF67617D962DEE2BDDC224444A6FC87F583D1C9AB913406 |
|
CONTENT
ssdeep
|
384:WFy+UXDfIuTiCpa5w1SJDyHUmmFkQg9fENvbfDXgW09j:WFy+UXDfIuTRnSJVQENvbbXgWe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
887722dd22778877 |
|
VISUAL
aHash
|
8018181818181819 |
|
VISUAL
dHash
|
31b2323232b23231 |
|
VISUAL
wHash
|
9d1c18181c1c1c1d |
|
VISUAL
colorHash
|
380001c0000 |
|
VISUAL
cropResistant
|
000430044e300400,31b2323232b23231 |
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 4694 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.