Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D13F83044C86B3F919342C5E310AA4BD7D5C185E67A8A5DF2FA870F97C9E54CC2BB98 |
|
CONTENT
ssdeep
|
768:rCr0Yihd0rba34QluN9NS9kOWMO/OAzkow5A6Xn9+25RCyqbUOgcN:rCr0YiMba3fu9QkOWMO/Jzpg30KqbUOn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebcac9fac296 |
|
VISUAL
aHash
|
fd0006060604ffff |
|
VISUAL
dHash
|
71ccccececec3913 |
|
VISUAL
wHash
|
ff0606060600ffff |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
000109616189018a,96d6e8b08c710f8e,c030304b2c131313,f4ccccecccececec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.