Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6C3447452283A7D6A1B8BF5F3B9B7382269D259E967C159D2BC437217CACC0F833580 |
|
CONTENT
ssdeep
|
1536:LRseNQ7777VKfOjrhrC7vvvXx7777s7777a7777w77797777P7777NbK:yrfK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1e4363333c4e63 |
|
VISUAL
aHash
|
00bf938e8e9fffff |
|
VISUAL
dHash
|
2b3c263c38261e0e |
|
VISUAL
wHash
|
001f018e8e83efff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
7b3c263c3c261e0e,00040b6b3b3b6303 |
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 44 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.