Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1E3E9A8E3A8E6B5E506D7F8FB53D420716B30FBBB81C2A4C1E59E78A4604CD4C1D9D0 |
|
CONTENT
ssdeep
|
1536:s/rYyHLCGVKhIjVCEb2jCm3k8GlfVQd9c2jxkVOS/a66hfP8guo:Qshd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c03c872f38a93fc3 |
|
VISUAL
aHash
|
017070c0e0007c7c |
|
VISUAL
dHash
|
63a0a580a028c1c0 |
|
VISUAL
wHash
|
71f0f0c0f000ff7e |
|
VISUAL
colorHash
|
382000001c0 |
|
VISUAL
cropResistant
|
63a0a580a028c1c0 |
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 1137 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.