Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFF2E6A47718B67981D34288FA30254DB2CBB5CAFD68DAC193FF8755B987EB0E904420 |
|
CONTENT
ssdeep
|
768:ezTkg4tFNnqkzgHRTyqvS6kpnWsOPpBhOpF4DTfJyBa:cQtbBzU2qvS6kpnWsOPpBhOp+fKa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9d87373d9407362 |
|
VISUAL
aHash
|
48ffffdbff000000 |
|
VISUAL
dHash
|
d432243232cce470 |
|
VISUAL
wHash
|
00ffffffff000000 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
8204304c4d4c3084,d432243232cce470 |
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 5 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.