Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC2211D0C450ED77835286E8A3F59F073192C34DCE06198493F893EB97CACA0DB259AD |
|
CONTENT
ssdeep
|
192:Qn+fzeTkGJNTaG28KRFGOBG0CgJU2DlVvNdPiI+rcrcrL:Q6OlvaG3KaLj6VNdP9K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1936c866c399b39 |
|
VISUAL
aHash
|
ffe7ffffffffc381 |
|
VISUAL
dHash
|
8c8c88888a808e16 |
|
VISUAL
wHash
|
e7676e6e6e7e0000 |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
8c8c88888a808e16,00d0dcd0d8c1c038 |
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.