Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B831D21E08911B702B787C4F1227F1A71EAF75FA54AD1555BF88AB2AFD3CA9F404870 |
|
CONTENT
ssdeep
|
1536:II0YJosldF3PxCkF2IlJrlJjlJ8tmqrYO/+BvuNCVHByW:II0YBdFfoIrrrjrPBJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c02c2772b1eb8e3e |
|
VISUAL
aHash
|
00003cffff7c0000 |
|
VISUAL
dHash
|
03e8f09194c4cad4 |
|
VISUAL
wHash
|
01083cffff7c6424 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
03e8f09194c4cad4 |
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 73 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.