Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3F3A4B0D7616A371633EBC8B374AB5972D98169CD520104E3FCC7688FDECA1E816E94 |
|
CONTENT
ssdeep
|
1536:ntZOE5vC50L96TQyNEXWb/SBnXWRfUBHq1//WBJtX0Sf3t0GTIrAWOQYOJMv8th0:n+DFuMnPcyWqu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
915b672c4e35374a |
|
VISUAL
aHash
|
007c6c3e3c036e7f |
|
VISUAL
dHash
|
63d8d8d8f1d6d6d1 |
|
VISUAL
wHash
|
007c2e3e3d034e7f |
|
VISUAL
colorHash
|
09007000000 |
|
VISUAL
cropResistant
|
f0f0f0f0f0f0f0f0,cccc8c6cd498f9b0,63d8d8d8f1d6d6d1 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.