Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3A333F2031464FDB607DED8AA756F9C326B71BDEEA291481BEC4AD092D7DD4C90B801 |
|
CONTENT
ssdeep
|
768:GR9sdyAvFOnpwTBt5wLg136ytBJ4NJl3Pp7t52gY36gsmFh5Omt3O+9OQQ9wUCqu:hDpV/MMMM5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
899876768c627397 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
9448b2b2b2b20c30 |
|
VISUAL
wHash
|
66383cffbff88000 |
|
VISUAL
colorHash
|
38001640000 |
|
VISUAL
cropResistant
|
8c888c8c8e0b16a0,9448b2b2b2b20c30 |
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 138954 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.