Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D35393B76853331468B31B5FA9F81DCF779C068A2191094A5ECC29815A0E7AC37FDDA |
|
CONTENT
ssdeep
|
24576:mCeCl9jyVODAh1dBJZYabQ6VplvVfQ+CLCD:mCeCl9jy2Ah1dBAaU6zlvVfQ+CLCD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94b4cbc992b496ad |
|
VISUAL
aHash
|
ff00060602200024 |
|
VISUAL
dHash
|
2a84cc8c9eccc0cc |
|
VISUAL
wHash
|
ff4047470f7e007c |
|
VISUAL
colorHash
|
390020001c0 |
|
VISUAL
cropResistant
|
0000602ca8680000,b9b1b098f929d898,83848c8cccc850cc |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.