Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15533DCB19095693B81A3D2C4B3356F6EA3D29245CAD3060B9BFCC74D1FCAD80EC52A56 |
|
CONTENT
ssdeep
|
384:sLW5bxFGHw1ibx+l67lrJy9qGKhTBA4jTH+Kq18L8bUyzrCU1ZytnIqDzSCJqlFX:O2bxYrbx+lESwIzItshRmmyuJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8439c53bc63bc4b5 |
|
VISUAL
aHash
|
000072060600107e |
|
VISUAL
dHash
|
c406e6cc8c98e4e4 |
|
VISUAL
wHash
|
020277664640ffff |
|
VISUAL
colorHash
|
300020080c0 |
|
VISUAL
cropResistant
|
96f2baaadcaafada,a0b280929292a0a8,8012001212120008,506a4a99999b9bcb,c406e6cc8c98e4e4 |
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 79 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.