Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6C2A83161007A3B42DBC3D9B362B31EB3A38249D7460915E2FD839E5BE7D64DA33526 |
|
CONTENT
ssdeep
|
768:OScy5N3xatwdj0HLT7q7c3X97sOy2+y9BH4crIe:ta2dyt7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc1add29c3cc |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9c8cc6c2e0c9d100 |
|
VISUAL
wHash
|
00e7f0303024ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
208080024c888000,940cc6c2c0c0c9d1 |
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.