Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B682D7349349091D601B86C0F6B1F72E67668349D30E872CE7FE2576AA8DCE1E5672CC |
|
CONTENT
ssdeep
|
192:YpCuH2F0gukv9+u8UdRKXmOBveE9cX2YJz2A:qDWu5kF+u8+RKXhB2E9cGYJv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33934954b4b9396 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
1a1a1a5bdadadadb |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
13001000180 |
|
VISUAL
cropResistant
|
bcbcd096cc94b183,83838392babe7fbf |
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 63 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.