Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFC1F1217504481B133367C5FEE1BD8DE0A3F309C51A993492AA42DE1EF3EF5B8A9572 |
|
CONTENT
ssdeep
|
96:6r8jwxixhuu9MqLyWxOc/pXUcyH5jGhTfif9T:6q23Y+d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6666cc33339936 |
|
VISUAL
aHash
|
1810181818180000 |
|
VISUAL
dHash
|
3020303030b20020 |
|
VISUAL
wHash
|
3c3c3c3c3c3c0000 |
|
VISUAL
colorHash
|
38c000000c0 |
|
VISUAL
cropResistant
|
0000100d0d0c0008,3020303030b20020 |
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 47 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.