Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D781B330A2546D1CB2334A94FB51272A3005930BE24F5E64EB662277E1C35B76B7B3DC |
|
CONTENT
ssdeep
|
96:LWaZuZ9bDuoaC6JoGi3BysZYruIZYUPVvqndyOU0:LWaZu3uJ5gEsZSnZdPVvOr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999966663331ce66 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
4cb2b2b2b2b2b24c |
|
VISUAL
wHash
|
3f1b1b1b1818183c |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
96960270c0333380,4cb2b2b2b2b2b24c |
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 33 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.