Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAC28872B010653B42E382C9F672772EA2D3834FDA56091192FC53AD1BE3E94DB33656 |
|
CONTENT
ssdeep
|
768:4Sby5NgwyDNMVJ8yVAQPJ7sOy2+y9BH4c1Ie:ayFeZ7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d264bc12ed1e91e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8ccccce0c8dc2c00 |
|
VISUAL
wHash
|
00fe6e00004effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
5255594d4d515556,1080800458988000,9cccccc0e8c8dc2c |
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.