Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA735332230C2E2C694387A8F7657729526D92C5FB1BF4E8E56C017127DAF58E827DE0 |
|
CONTENT
ssdeep
|
768:XRqQpRzpEg/0xXHXZSbdC9hsJ35UkwkEdpEjlQtMndTz2CmEEEEqDaMEEEEJRY4y:BjzGg6pEEEEqEEEE9EEEE3asQew |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98939e7571666433 |
|
VISUAL
aHash
|
043c38181818003c |
|
VISUAL
dHash
|
dc79603232b03161 |
|
VISUAL
wHash
|
6e3c3c3c3c38193d |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
926c121313580282,008092e6a001d0d8,dc79603232b03161 |
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 120 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.