Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101210D71501C487F2202E295A3F2F905384F82326F029F14D6F5A399DABBF559810186 |
|
CONTENT
ssdeep
|
24:h8TDTN/+TN/0AKYZ91QVpN9RNyG0/cQiYd/VD:+TNmTNMA9UpH+/VD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
870707fcf80f0f07 |
|
VISUAL
aHash
|
3f3f3f3f7f3f3f3f |
|
VISUAL
dHash
|
e8e8e8e0e0e8e8e8 |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
8080808080808080,c2b2f28071718c8e,104c33f2b28a5082 |
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 75 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.