Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139D32ADCD72053FC584EC7AEFE3154986A1F20FABAD18998C29D5EA4A5D3CC4DC09C89 |
|
CONTENT
ssdeep
|
1536:UOQHesQ89hW43OCZrcgDPUcPNSSVYknQe8hSt6pQTuLFawLyRZOWuWL5v3XnQuGn:UEeFcgDPUc6VWc1WuuMn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d8d62e0c878733d |
|
VISUAL
aHash
|
7e1f1e1a1a1e0000 |
|
VISUAL
dHash
|
b6f676b23230b4ac |
|
VISUAL
wHash
|
ff3f1f1e1e1e0800 |
|
VISUAL
colorHash
|
07207000000 |
|
VISUAL
cropResistant
|
fefededefe6aebd3,f8b268eec0daf060,8080808080808080,b6f676b23230b4ac |
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 52 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.