Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AD2A636E044263780C7E3E9F772A72FE1B6C648D6464618D2FA839F07D7D64CA23456 |
|
CONTENT
ssdeep
|
768:71Py5NbTYROj3CGcf5o5pSyILhRLF7s7y2+y9Gt49rIe:iYRQ0r7s7y2+UGt49rIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43adc0ac3e3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
848cc6c2c0ccc900 |
|
VISUAL
wHash
|
00e7f230002cffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
0080c0006ca48000,940cccc2e0c0cccd |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.