Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197120D7190A560E3A30F09E2B9B827CF65DBC38DC74B0D0453E8C3D85BCBDA59996716 |
|
CONTENT
ssdeep
|
96:29RM5Es74VsueELYRrGaxuf0HiuzG2KUWaATra36BGx4u0QQJDG:5DaLYRid8izJI0rQ4ufv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333b11999636666 |
|
VISUAL
aHash
|
240024180000ffff |
|
VISUAL
dHash
|
4c184d3204401616 |
|
VISUAL
wHash
|
00182038ccccffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4c184d3204401616 |
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 22 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)