Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E23DC65E50191B243B3D4C5D2A07F2F7693FF0FA0C689886BAC81A52FDBC64F527462 |
|
CONTENT
ssdeep
|
384:7CPFOnQ7bFiFyFgHFvqFiFOZF7FDDM2ndAhpYjkhM4Zn53vR6WVLbhHX7zXET13U:7CNjmWMmmO7BDDM2dq6W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666cc98c9999999 |
|
VISUAL
aHash
|
f7e7e7e7e7e7e7ef |
|
VISUAL
dHash
|
8c0c0c0c0c0c0c0c |
|
VISUAL
wHash
|
42c30303e7c3c7c3 |
|
VISUAL
colorHash
|
07208000600 |
|
VISUAL
cropResistant
|
8c0c0c0c0c0c0c0c |
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 21 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.