Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CE2C932B1107E3701A7D3D9B362E71AA7E38249E7560416A2FD836D0BE3D98DA33516 |
|
CONTENT
ssdeep
|
768:oSky5NW78DGNaTC96t7sOy2+y9BH4c1Ie:m8PZ7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c360bc3aed47c5c8 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
808cc4c2cacccc00 |
|
VISUAL
wHash
|
0064fc707004ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
408080024c888000,808cc4c2cac8cccc |
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.