Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B14C6230258762A4037D3D02065DF76F7B6BA9BFB63CB0047E887B676F9C0C641A55A |
|
CONTENT
ssdeep
|
1536:hYqzI8UgQmTa3MZo+Hd1+q0/FOVdhVdFkr3u1ZFuKWPw+v+xlshwt0mUYNrfflr4:hYb8OQu/FOVdTdFkr3GrtV3H/fKj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aad754b422765574 |
|
VISUAL
aHash
|
663c08210318c101 |
|
VISUAL
dHash
|
c479286b036b2b23 |
|
VISUAL
wHash
|
66bc80b9c1bbdb81 |
|
VISUAL
colorHash
|
38250001000 |
|
VISUAL
cropResistant
|
2b29cc2d67473351,2425e5645bdbd3d3,fef3f3f6e6ccf0c1,c479286b036b2b23 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.