Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CE35DF0B200BD6B52F302E770AB9306B1399A1AD50F8D947398D59A33EDC576873AD4 |
|
CONTENT
ssdeep
|
1536:P8ZYTAQ/VTg1+hFK+nX/ddt1+hFK+nX/ddKCsyGHSryHP5EEM0X9TVq53QSoHxhL:P8mhNTjzmN6/btZ96n+Rt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c849b5b54b6b3949 |
|
VISUAL
aHash
|
fff8d8f8f8ffffff |
|
VISUAL
dHash
|
2a313131333c1804 |
|
VISUAL
wHash
|
bb988088808fffe7 |
|
VISUAL
colorHash
|
0e001000180 |
|
VISUAL
cropResistant
|
2a313131333c1804,070e494454744a52 |
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 242 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.
Pages with identical visual appearance (based on perceptual hash)