Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155E228B49230D335B1824BE8DA6428687A5FE1DDD7C695B4F388AF11B0D6CECD9250CB |
|
CONTENT
ssdeep
|
384:Y7fUWegu+fhEFcRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3AsiyRWoMd:Y7fUWegu+ZphhPhleMeDGCSPxeeWmHDW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fcceb12308cfd921 |
|
VISUAL
aHash
|
fdf6f0b0c0e0e0c8 |
|
VISUAL
dHash
|
e1a426250bd8dc19 |
|
VISUAL
wHash
|
fdf6f0f0c0e0e0c8 |
|
VISUAL
colorHash
|
18003000200 |
|
VISUAL
cropResistant
|
b9b1b0b1f78ce861,f01ca7e2e0e2a2f0,e1a426250bd8dc19 |
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 70 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.