Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147B23EB18110153712174AC5F661BB1DA0EBC78DD9970868A3EC8BDA4BEBCD4EC2BD46 |
|
CONTENT
ssdeep
|
192:PVwFiEH+mJz17GOGSL3dV3W8feO63cStuGhsOGSdGLeXOhyRX:xmGOrUwe73cStuisOTPNd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94c56a306a6b6db5 |
|
VISUAL
aHash
|
467e363656060600 |
|
VISUAL
dHash
|
8e8ce6ec9cae0c04 |
|
VISUAL
wHash
|
667e7e7e7e060600 |
|
VISUAL
colorHash
|
38006000040 |
|
VISUAL
cropResistant
|
8e8ce6ec9cae0c04 |
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 1180 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.