Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF35E6BF2230569A61976FD5A7E0BD88637CA24EFEE4C5C0A39610515D62DFBB0BCC10 |
|
CONTENT
ssdeep
|
6144:fxVbpy/WPna94CCvJ4IjMQDbX9EO08U3Skwno5:5dpy/kno5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cc66333199cccc |
|
VISUAL
aHash
|
e7e7ffcfe7e7e7e7 |
|
VISUAL
dHash
|
4d4c3652544c4c4d |
|
VISUAL
wHash
|
c3c3dbcb03030303 |
|
VISUAL
colorHash
|
08000000038 |
|
VISUAL
cropResistant
|
4d4c3652544c4c4d |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.