Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0C217E6A59068E5310397E4EA25F899F50BB0EFCFB2DB90FFD4440525C78798C89B84 |
|
CONTENT
ssdeep
|
384:+OzF5QcoqzuVL3eWG3bYUuR9KlYqjmG7r4ra/ivIeDuAJE+ZJeZJTwnQQ9Xf:NzF5QcoxVL3Mru9KTYiAhudwQQRf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80fe05ee3530dd8e |
|
VISUAL
aHash
|
9fffcfc7cf7f3f3e |
|
VISUAL
dHash
|
3000189c9c80d0c4 |
|
VISUAL
wHash
|
9edece46463e1e02 |
|
VISUAL
colorHash
|
07006200000 |
|
VISUAL
cropResistant
|
3000189c9c80d0c4 |
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 2609 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)