Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFC42BB0A0102D3B01EB83D4F6B4670BB3F5D349E90A45915BE8DF982FD6E60EE1A51D |
|
CONTENT
ssdeep
|
6144:ODR5eMwF21dpgXyhylVx/5Dgw0u9F14h04yzn9/m:yR5eMwF21dWXyhylVx/5Dga1n9O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b263c98c663d9933 |
|
VISUAL
aHash
|
ffe7c787c7cfdfff |
|
VISUAL
dHash
|
004d0d4d0d3d3d13 |
|
VISUAL
wHash
|
efe7858587858589 |
|
VISUAL
colorHash
|
07400018000 |
|
VISUAL
cropResistant
|
004d0d4d0d3d3d13,2dcc9ad267b4ac52 |
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 498 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.