Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170C2A6316110663B01DBD2C9B3A3B32EA2A3974AD7460915E2FD839D4FD7E54CE3352A |
|
CONTENT
ssdeep
|
384:uScy5N1a83IZdt4DBCx6MPqMZ/nEiWU156jIYsOy2+y9BH4cCUIe:uScy5N1a8IYI5E1T7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43adc0cc7a3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
948cc6c2c8ccc300 |
|
VISUAL
wHash
|
00e7f3700004ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
208080024c888000,940ccec6c0c8cdc1 |
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.