Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10923A3313185767711D383E2B7215B9BB3F68248C6276A0AA3FE838C5FE6C11FC66159 |
|
CONTENT
ssdeep
|
768:5zX0aNL+LXvMW3bZa3Yr7YCg22AlrBLpfPJ1Ohn794Wrq/mqY/Gu7HlpVp8n0YBn:HLg/Mgao3lDvZ1tB0dR4WrqC/O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6a649691b369765 |
|
VISUAL
aHash
|
10ff7e3e20000018 |
|
VISUAL
dHash
|
72e4ececc548c4f2 |
|
VISUAL
wHash
|
1dffff7e24003018 |
|
VISUAL
colorHash
|
32200008041 |
|
VISUAL
cropResistant
|
ce292829adce994e,b696f65b5da696f6,72e4ececc548c4f2 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.