Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1497443674218691A4437C3D134699B7AD1A7DE9FFE930E008EDCCBF62AF9C64740A21D |
|
CONTENT
ssdeep
|
1536:2bXYHzTu2uFCNXs1jc97UgQmTa3MZo+Hd1+B0FJkIRBOFBLklc9Td+Smfu4/ZT42:tp9OQrKRfQzBT/J4Yn3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b19b3365668c6666 |
|
VISUAL
aHash
|
ffefffffc3c3c3c3 |
|
VISUAL
dHash
|
1f1e0e320e16160e |
|
VISUAL
wHash
|
a1c3c7c3c3c3c3c3 |
|
VISUAL
colorHash
|
07006008000 |
|
VISUAL
cropResistant
|
1f1e0e320e16160e,a280a2c2c2a280a2,8280a2c2c2a28082,a28082e2e28280a2,a28082f2f2828082,00300c4d4c201000,49e0b2e2aab28e8e |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.