Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFC2A734F1406A3B81C797D8F3B2D33A66D75289D957060643FDA3698FE7C41EC2644A |
|
CONTENT
ssdeep
|
768:w1Py5NjTWPc62vjL1fAof4jXaD0KF7sBLy2+y9l0K4/1Ie:0e1LnF7sBLy2+UuK4/1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1acc4bd3a1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8c88cac2c0c9c100 |
|
VISUAL
wHash
|
00cfe070202cffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
c0c0c4024cac8000,d408cac2c2c8c9c1 |
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.