Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC13DD30E5C6A8374193D1D4AF7A971B76E0E306C64307059BF8C3AC6BEAD5BED06648 |
|
CONTENT
ssdeep
|
768:SvzhCEaeF0dadlrbBhTQSp60dJbGbysLsDgH:UgEaaQadlrVhTQ060dJsysLsDgH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333999999656466 |
|
VISUAL
aHash
|
cfe7c3c3ffffefe7 |
|
VISUAL
dHash
|
184d4e0e001c0c0c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
184d4e0e001c0c0c,c5148aa6a6e15534 |
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 14938 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.