Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDF11E7930484DA353A38AE87653AF19259BD31BCB0266FCD1D482C49EDBF37E44B055 |
|
CONTENT
ssdeep
|
192:cPOw7ACoXa6X8I7kIvE2Z2kbi0iVcEbdS5:c1e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cece3331992c6633 |
|
VISUAL
aHash
|
183c3c3c3c000000 |
|
VISUAL
dHash
|
7071697171702000 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c00 |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
7071697171702000 |
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 6 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.