Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDD14330528C385B2246F2DBCF146B1D7AE141FDBE17438519F95A6F79E28B4CA7620C |
|
CONTENT
ssdeep
|
192:c4eME1fXAfxlEgpjA3YY9tdn/xUdL4IE1lDab:cth1vAJagpjA3dtd/KgjDab |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33833c339c339c7 |
|
VISUAL
aHash
|
6000007070707000 |
|
VISUAL
dHash
|
d07030c6c4c0c430 |
|
VISUAL
wHash
|
783c7d78787874c0 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
800008292d408080,d07030c6c4c0c430 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.