Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B749DF23110D1760FE77981B4563E12B9B2999FEA8F394496FC0AAC4FD5EA8C4E4350 |
|
CONTENT
ssdeep
|
1536:PpNcNb5F5P5XNqjdeNLVVXwvuU5124ke0e3aoGepR7oebLCBXxu8zvsEfghjplay:VwEtd1pe6yqxtGhIhb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
973cc9683e922dc5 |
|
VISUAL
aHash
|
0000666e00007e7e |
|
VISUAL
dHash
|
d68eccccf4c6c8cc |
|
VISUAL
wHash
|
02406e7e3e407e7f |
|
VISUAL
colorHash
|
30202008040 |
|
VISUAL
cropResistant
|
9b529e966dcdd0d9,f3626074b6614f94,626f511945417170,d68eccccf4c6c8cc |
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 212 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.