Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D961E031A485293B46838DE9B691EF0EB1D3C2CEC92B5A44B7FC57C94BC6D82DD15620 |
|
CONTENT
ssdeep
|
48:dBu6OzM9FIMDO4nZuu6+cy4K2f2c/VaLOGBqZYOCTwVjuSC9q:jub+vPZhUf7oLOGwZ/CGjuSC9q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b59066a119df03d7 |
|
VISUAL
aHash
|
4fe7e408c767e300 |
|
VISUAL
dHash
|
9e8eaa129ecf4e8c |
|
VISUAL
wHash
|
4fe7a61cc767e100 |
|
VISUAL
colorHash
|
31401008000 |
|
VISUAL
cropResistant
|
9e8eaa129ecf4e8c |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.