Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CF16355DE4C68557296C270B2F76E9EB5888207C302FCF4FFC4260A89CAEB5CDD5240 |
|
CONTENT
ssdeep
|
96:BlRpnY1N4TQvQKuiJeSMzAdyNc7JHrGPPbkcxz2PTeiwDsK73Mr/x/BDXgtHnPJg:ZTHdYCospQaQdaxNULEPtVkIda |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d4292fcdc9b4e095 |
|
VISUAL
aHash
|
0000c6fefefee600 |
|
VISUAL
dHash
|
920c8c8cd4c48c0c |
|
VISUAL
wHash
|
0200c6fefefee680 |
|
VISUAL
colorHash
|
10000400180 |
|
VISUAL
cropResistant
|
e8b2392b233abac6,45e6f470f9dbdaab,7870e8fcc0d87efe,920c8c8cd4c48c0c |
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 6698 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.