Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DE239B4A230D335B1C24BE8DA6425287A5FE1DDD7C695B0F388AF51B0D6CE8D9150CB |
|
CONTENT
ssdeep
|
384:Y7fUtegu4o2mRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3Asi4RWIMd:Y7fUtegu4YhhPhleMeDGCSPxeeWmHZW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
913fc7b24be10f48 |
|
VISUAL
aHash
|
a0060e40400e6f70 |
|
VISUAL
dHash
|
4c4cbadbabac8cc1 |
|
VISUAL
wHash
|
a0260f68685fff70 |
|
VISUAL
colorHash
|
38003000010 |
|
VISUAL
cropResistant
|
100c323232320810,4c4cbadbabac8cc1 |
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 77 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.