Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124F137B183561527133B99C2A0B6C72EB2F35206EA8A1728F7FD22D947CCC34B147653 |
|
CONTENT
ssdeep
|
192:066tA8R4MW71mDXTeRJ2ikyHZBlHvpwFTzKXZMjF5o:b6tFR4MWJmGRIKFYFi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b211997171d1d973 |
|
VISUAL
aHash
|
ce073fe7e6fffe7e |
|
VISUAL
dHash
|
98ad654c4c3040c0 |
|
VISUAL
wHash
|
4e0727e3c6c4747c |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
98ad654c4c3040c0 |
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 168 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.