Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B60296B39E4434757323523C719A9FCCF2A6521BD715A864F2C4128483DFDB8C9AA2D9 |
|
CONTENT
ssdeep
|
96:eRpnY1N4TQvQKuiJeSMzAdyNc7JHrGPPbkcxz2PTeiwDsK73Mr/x/BDXgtHnPJ3H:iT9OiRwd51B2wPQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98b366ccd9acb2a8 |
|
VISUAL
aHash
|
d5000c1c3e3e1000 |
|
VISUAL
dHash
|
2d0838f0f0643435 |
|
VISUAL
wHash
|
ff0c0e3e7e3e1810 |
|
VISUAL
colorHash
|
30007000040 |
|
VISUAL
cropResistant
|
2d0838f0f0643435 |
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 207148 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.