Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117D2733291446A3B02E383DAB3616B6FB3D2C24EDB46061553FD839D0BE7E40DE63656 |
|
CONTENT
ssdeep
|
768:seaj7BCopkbp6JT2WvNZ7sOy2+y9BH4c1Ie:kLmc/vNZ7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247f412cd38b8e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
dcccc8c8cccc8d00 |
|
VISUAL
wHash
|
0cfc6020140effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cf8e8ec3c3c3,0880880458988000,dcccc8d8c8cccc0c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)