Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142614321D302540B6217E8A5B952AF5FB3978B0BE7024E7876B452F2E7CCE7049772C9 |
|
CONTENT
ssdeep
|
48:TVpXsNaNXJzZq8yGYsSIeIm/2CKe22IFPckV9e1xy3TI68F:TVJfJNqXsSZIm/X3Sxhv6y0dF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131c7c786cecc86 |
|
VISUAL
aHash
|
cfcbc7cfcfcfffff |
|
VISUAL
dHash
|
189e9e9e98186010 |
|
VISUAL
wHash
|
03030303000c3030 |
|
VISUAL
colorHash
|
07001000090 |
|
VISUAL
cropResistant
|
189e9e9e98186010 |
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 522 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.