Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129D26331404ADC370193D5D4EAA1671976EAC36EDB030A45D3FCCFAE9BEAD91CE22614 |
|
CONTENT
ssdeep
|
384:e+JIIQIRoZMi0Ctnlc9yHWW2tlybFd4ER1kfNZQF:eEIIQITCVlc9AOSd4ER1MNw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7782367b0d28c7c |
|
VISUAL
aHash
|
0020507e6070743f |
|
VISUAL
dHash
|
c4ccb4d4cecec8c9 |
|
VISUAL
wHash
|
0060d0fef276743f |
|
VISUAL
colorHash
|
38000038200 |
|
VISUAL
cropResistant
|
c4ccb4d4cecec8c9 |
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 127 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.