Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171D29671A0007A3B01D383C8B321BB6FD693D686DB560D0596F987AE4FD7E90CE2751A |
|
CONTENT
ssdeep
|
768:t9y5NHgNNjZfNecGRQN7sOy2+y9BH4c1Ie:hN77sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b81acdefc66c9221 |
|
VISUAL
aHash
|
ff08061f6ffff1fe |
|
VISUAL
dHash
|
63393cbc9caf0390 |
|
VISUAL
wHash
|
bb00040e4fc7f1fe |
|
VISUAL
colorHash
|
07038000400 |
|
VISUAL
cropResistant
|
63393cbc9caf0390 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.