Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3F110E1D054ED3B431286D5F7BA7B0B7791C389CF020A4493F883AB9BCAD60CB1159A |
|
CONTENT
ssdeep
|
96:TkEACfzDatkzONJhUSPrt8v67MYdt0PsttfAaLwvFXQexXgHFdOP6Xhg/URwi2fL:QEnfzDaUizt8iICt0I5DMuLISgU2/D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b319cc4ecc4ccc |
|
VISUAL
aHash
|
ffeffff7f7ffff00 |
|
VISUAL
dHash
|
0a4a080c2c100000 |
|
VISUAL
wHash
|
25272727f7ff0c00 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0a4a080c2c000000,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.