Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7E133E0C054ED375353C6D9B7B66B0F7655C345CB020E4863F893AF6BCAD60CA229A9 |
|
CONTENT
ssdeep
|
96:TkwW7QzH0XfeGdZv6pbx9PGLFtWXhHFv6XqCY+/IFVv6WAZXQ7R:QwW7QzH0X1dFaLPGWjChahSXQ1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3b31ccc4e329919 |
|
VISUAL
aHash
|
ffefe7e7ffff0000 |
|
VISUAL
dHash
|
080c0c0c00000000 |
|
VISUAL
wHash
|
e7c3c3c3dbff0000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
080c0c0c00000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.