Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1551364281349267E615783E8F6A1FB34D1A9D38AD2274AADB3FC427257C6C48DC736D0 |
|
CONTENT
ssdeep
|
768:DnUuSjFhbuGJ+5kRcYgdpND31y2CwDkdML6yKl6xW:4KT5DdpSyKlT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e94b92966b681e0f |
|
VISUAL
aHash
|
fd9b999999bfffff |
|
VISUAL
dHash
|
493b333363768908 |
|
VISUAL
wHash
|
fd81808181c3ffcf |
|
VISUAL
colorHash
|
07200000280 |
|
VISUAL
cropResistant
|
493b333363768908,e4723d0e87c7c1d0,996c66370b0341c9 |
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 1062 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.