Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107728D20F010646B127386C2E9317E6F3493FB8BC94DCC1069A991F96FDBDB1F81556A |
|
CONTENT
ssdeep
|
96:6r8EGbJyTT7XTe1iE/A1BMCcWEeCyw4LQ1irm18WrRpA2Gryi8Er9Z9P92QpLJ5m:62SPTcacS9ykDcITtEJ4uDKRlZyWM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfecb0b126c6c691 |
|
VISUAL
aHash
|
f79a3830203c203c |
|
VISUAL
dHash
|
2e32616648484068 |
|
VISUAL
wHash
|
fffb3830203c383c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2e32616648484068 |
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 26 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.