Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167548530F110311F5737D78BB5E2CB9DE263B64DC622E598EE95A03F1AC0DB60D129A9 |
|
CONTENT
ssdeep
|
1536:KL811Zg9wTD/Grdr7W3rHr0tcN8XUisLqjANQsIK6uaFxhGHsaNM30RZBkgiVLiv:ZoC8/PhNgNyNWNrNrNrNGqQQj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92c8e99eccb23b68 |
|
VISUAL
aHash
|
ff6044161c0e0600 |
|
VISUAL
dHash
|
f190dda4a0ecccc3 |
|
VISUAL
wHash
|
ff405c761e3e0670 |
|
VISUAL
colorHash
|
380000c0006 |
|
VISUAL
cropResistant
|
f190dda4a0ecccc3 |
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 70 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.