Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179F112E1C514EE3B436685C5DBB56B0B7791C349CB43194093F8C3ABABCAC60CA656AC |
|
CONTENT
ssdeep
|
192:QT8UOzeFd8WckmsyrgFXoHyrB585h8AzMLuA:QT8x884mswgFXQwB+D8BLf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1b3cec431c631b3 |
|
VISUAL
aHash
|
ffffcfcfcfcfffff |
|
VISUAL
dHash
|
1060999d999c6014 |
|
VISUAL
wHash
|
ff0f0f070f030f03 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
1060999d999c6014,00808080c8800000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.