Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B012ADF285731876C03B45C6A4BAAF2C30B55159F3462C10C6FE667DA2DDC927983ECA |
|
CONTENT
ssdeep
|
192:PuA5ISa7CiBgg7DRG3tIUcPRph9EzOzoepR:PuHShVQtG3tIUqD3MbgR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b5ed0a1e7ac141bc |
|
VISUAL
aHash
|
c183e3e383030200 |
|
VISUAL
dHash
|
0736860636ce8e4f |
|
VISUAL
wHash
|
c3c3e3e3c3037f01 |
|
VISUAL
colorHash
|
30001012000 |
|
VISUAL
cropResistant
|
483434d2a22a4959,8080022e22808080,0736860636ce8e4f |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.