Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEB24EB09254AB3321D3C3E067311BAEB3869249CA3306556BF9E7484FD7E7ECC66601 |
|
CONTENT
ssdeep
|
192:FrQrBkJTAx44nPqJ6ORkyGsUC+o1Ury0VOYexgLwo3lj+Mocfk7ya:VpTA2WqJlLUC+o1+VL/3dV9cj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
951c7a5a6d85646d |
|
VISUAL
aHash
|
000e1e7f7f0e0e00 |
|
VISUAL
dHash
|
fcf8fcd6d4dcf8cc |
|
VISUAL
wHash
|
000e1f7f7f3e0e06 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
fcf8fcd6d4dcf8cc |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)