Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A43FAFA3999B5520B6291D3B0AF364BB33A246F741C59A0B170CEA930F44D9506FF4E |
|
CONTENT
ssdeep
|
768:8yWu8n+WPyS5uQWFFQR/+0fl27p4q4ZzX8GLHVpJcvVAHP+pPn2YpYCB0IGzIg3v:1XTXnyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8b70bd50bb52398 |
|
VISUAL
aHash
|
dfdfcfdfdfffdf00 |
|
VISUAL
dHash
|
3e3e3e3e3a2f3e31 |
|
VISUAL
wHash
|
0f8387c38fc7df00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
3e363c3e3c373e36,0505050500808000,204832b30e050505 |
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 693 techniques to evade detection by security scanners and make reverse engineering more difficult.