Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EE132E1C104DD36035286D5F7F52B5F7692C349CB07098493F883AB9BDEC60CB66A99 |
|
CONTENT
ssdeep
|
96:TkZH9oh4hDBeQ8v67MozdtuBwvFrepXfHFne2jwXq5z/L+tFOuEjQPJ:QZH9oh4hDL8iIYd4xJkM1zKLOuEjQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc6cc69331936cc6 |
|
VISUAL
aHash
|
ffc3c3c3c3c3ffc3 |
|
VISUAL
dHash
|
170727131717000f |
|
VISUAL
wHash
|
c383838383c3ffc3 |
|
VISUAL
colorHash
|
07200018000 |
|
VISUAL
cropResistant
|
170727131717000f,98b2e4d41172abe9,38c4e794f89cdcdc,a6a2a3a42db05a6a,8f8f8b070706060e |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.