Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103030970A06A6E3F01D3C2D52B319B4BB3D48256CA27034E62F9C36C1FE7D49CD56AA5 |
|
CONTENT
ssdeep
|
768:44h/3WIAQIIIoXmQM94jmdCLYHghunUFB97oOAjHmAzyXq88o6W8KJY:5WIAQIIIu9M9ZdCLYHghunUFb7oOQSBo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f4419bb4dc8be48a |
|
VISUAL
aHash
|
ff0040c2c2021fff |
|
VISUAL
dHash
|
36868e96a686ff00 |
|
VISUAL
wHash
|
ff0040c2d2c21fff |
|
VISUAL
colorHash
|
001c0001000 |
|
VISUAL
cropResistant
|
0094691915699100,f8fcfcf8989090f0,edd0dac0c2c86e3c,8202c82a36468882,471e79e47861861f,b686869686a68eff,84697264881e2f51 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.