Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2A33BA0396DF4775EB3439310AF15037275262B680E4C607360EDEE62BDC9A6067FDA |
|
CONTENT
ssdeep
|
1536:UgXQfb0Qvv3o2h2wV9IiBvtVPTMn56QKmuAtobZ8o:7X8VMAIGvnAKctoF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93932c6cac9193e7 |
|
VISUAL
aHash
|
0e2c2c3c20000010 |
|
VISUAL
dHash
|
b648595940103021 |
|
VISUAL
wHash
|
7e3e7e7c080098fc |
|
VISUAL
colorHash
|
38080007000 |
|
VISUAL
cropResistant
|
e4c49cbd373694e8,b648595940103021 |
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 189 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.