Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B232BF9E1023866793B89C5E4543E0C3043EF37A2998EC5A7F56229AFC6CF854257B4 |
|
CONTENT
ssdeep
|
768:SPpFVAHOALcLljo3Z8rkmKWbECtTzhBeC3L:BmKWlTzhBeC3L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3e6cc4cccc91933 |
|
VISUAL
aHash
|
f7e7e7ff0000ffff |
|
VISUAL
dHash
|
8c0c08084d0c0a54 |
|
VISUAL
wHash
|
e6e7e7e7e7002022 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
8c0c08084d0c0a54 |
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 35 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.