Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149A1BA721148182FA61382F2E8E1F74640E6C61EC49BDA55F3DD02BA1BC9DC1DD371A4 |
|
CONTENT
ssdeep
|
96:ThDnY8U46Yb4tq5BdkmBfY6H6cIK5k1Wjm7HxGBz1z:P9bdpuaz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8b00f0ff82d5c4c |
|
VISUAL
aHash
|
010dc0c3f0f81010 |
|
VISUAL
dHash
|
1999969680a16263 |
|
VISUAL
wHash
|
01cfc6dbf8fc1818 |
|
VISUAL
colorHash
|
16c00000000 |
|
VISUAL
cropResistant
|
1b1b792731314f4d,1999969680a16263 |
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 32 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.