Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134D2C03C71063C9756B7A7C1F4A22F0EF846AF3686A40B18A3B46F617BC6CE44931758 |
|
CONTENT
ssdeep
|
768:kopxbjYZ5LfRXLfapLfyhLfsfLfharCtTzhBeC3L:kIxbjYZ5LfRXLfapLfyhLfsfLfhfTzhr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8503030707fefcfc |
|
VISUAL
aHash
|
3f3fff7f7e7e7e7e |
|
VISUAL
dHash
|
d0d415ea888888aa |
|
VISUAL
wHash
|
3f3c352e66666642 |
|
VISUAL
colorHash
|
07001000600 |
|
VISUAL
cropResistant
|
d0d415ea888888aa,23554c7c0e5e6d29 |
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 95 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.