Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4A1D2B5C2EB877340F2A1D2E2E7436631E0415DD962160D42FC237C27DEE4139E6978 |
|
CONTENT
ssdeep
|
96:2EWaeEzxy/z13SMSpzSMSpKSD13SMSpzSMSpKSHSmSuS0S3SsSmSuS0S3S5:2EKvbEFp+FpHDEFp+FpHyDrNilDrNi5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b1b6464c666cb1b |
|
VISUAL
aHash
|
00083c3c0c3c00ff |
|
VISUAL
dHash
|
2619796959780410 |
|
VISUAL
wHash
|
001c3c3c3c3c00ff |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
2619796959780410 |
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 2 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.