Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E41737132A2A677018386843654AFCAEF805BF4DA238A05A6F9418763D7E81DCC457C |
|
CONTENT
ssdeep
|
24:hHCqy/xehZDh0xWI/PDnIOnNUQ8pH43w/H+0qN2DXGB4ESz3a4:2xmZV0xbFn8H430e92DWy5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b77919665c1c6619 |
|
VISUAL
aHash
|
00e7e7e7e7e7ffff |
|
VISUAL
dHash
|
0c0c0c4d0c0c0c14 |
|
VISUAL
wHash
|
00e7e7e7e4e40700 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0c0c4d4d0c0c8c0c,0000003434300000 |
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 184 techniques to evade detection by security scanners and make reverse engineering more difficult.