Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED827B61B00014A222A3DDC2EA61BF1EB3DBF34FC996C0D56AE941940FD3CB5F55A5B4 |
|
CONTENT
ssdeep
|
192:6smRo+rBcZFjwWIzP0FjO7wlMFPGdFJRsJOsJRsJxsJXsJQ6sJDdsJtH5pK:/YBz7wlMQHzsksjs7spsq6sdds7ZpK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0c071373e3cb1b7 |
|
VISUAL
aHash
|
70787c7830000000 |
|
VISUAL
dHash
|
c5c1e0e1e1d4e486 |
|
VISUAL
wHash
|
747c7c787c3c7c00 |
|
VISUAL
colorHash
|
00007000080 |
|
VISUAL
cropResistant
|
a080949480e4e4e4,83929298b2d2d292,c5c1e0e1e1d4e486 |
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 28 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.