Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CD39DB1112256B64A4F49F13538DBAAD597A648CB2FED1583AC93935FCFCC08ED03A1 |
|
CONTENT
ssdeep
|
768:kfcMGUMoB85a/4LUkmurJq3lm1X3C35rkXAq6/r0X99X02LXXQjNg1XCOY+vqXsE:YcMhzB85a/4LUkmurauRnO97 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98634dae6d76a990 |
|
VISUAL
aHash
|
834c4c401f1f5c18 |
|
VISUAL
dHash
|
369898a495959551 |
|
VISUAL
wHash
|
9f6e4e405d5d5c18 |
|
VISUAL
colorHash
|
070010100c0 |
|
VISUAL
cropResistant
|
369898a495959551 |
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 1243 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.