Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190E2B530900A683F06A763D1B775B39B72C583C9D943476B82FD8B4D5BDAC90ED138A9 |
|
CONTENT
ssdeep
|
384:Av0f9fIIBDRBXIIIII9olBHhF/CIbhA5OJgxSMzZ0O8w6DOzOpW:pIIBfIIIIIBqiOJgxSMzh166F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c1963c69e |
|
VISUAL
aHash
|
00e1e7ef7f3c1818 |
|
VISUAL
dHash
|
87cfcfcbf5e5f0f0 |
|
VISUAL
wHash
|
00e1e7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d888c0c,0000696969000000,87cfcfcbf5e5f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.