Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154E3E1394153263B931765D8F4A97B0F71D2C0EEEA43AD0290F48F2E97E9C895E074A7 |
|
CONTENT
ssdeep
|
3072:rk06Mmf4cxYXAgzk06Mmf4cxYXAg75t/4hWjwAdYZ0TNy3Tk06Mmf4cxYXAg9:rk06Mmf4cxYXAgzk06Mmf4cxYXAg75tO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6ccd870d8726666 |
|
VISUAL
aHash
|
ffe7c3c3c3c3e7ff |
|
VISUAL
dHash
|
800c0e0e0e0e0c00 |
|
VISUAL
wHash
|
7ec30000c0c0c0fc |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
800c0e0e0e0e0c00,88c4310692b0cc86 |
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 3357 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.