Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118514932C08AEC2712A2C1D45B71AB6FE6C2C15FDE274786C2F44B9D9BCED65CC1A548 |
|
CONTENT
ssdeep
|
48:7cDNDixKkA9rRIfUhVWb7UzY/lmddbWG86cKFJPPsWMb9:MNn39+fDO4lmddwRKHnMb9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9cc33666699cc89 |
|
VISUAL
aHash
|
c3dbdbdbc3c3cdcf |
|
VISUAL
dHash
|
161692b2960e1a1a |
|
VISUAL
wHash
|
c0c8d8d8c3c3cbcb |
|
VISUAL
colorHash
|
00038000200 |
|
VISUAL
cropResistant
|
3a68d4dcb8919470,161692b2960e1a1a |
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 24 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.