Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF64123375026822113F82CF6167172FA2C1C7CFEAA307D55AF4C3A99BF5C91BA66158 |
|
CONTENT
ssdeep
|
1536:TBIEIWvpVOBsPz//zHvpVOBsPz//zdFU9ssHEufSf1CDrh7Lo5lfd3KdvMmhWDXw:ZfQ9ssHHfc1KhyZHkmJNL1z1xUx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c654e0a35cac4fe9 |
|
VISUAL
aHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
dHash
|
2404646464652764 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
0f000000e00 |
|
VISUAL
cropResistant
|
46003c2e3330005a,f04004c0464ffec1 |
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 563 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.