Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189311DB020040D3B499686A0EAE5F31E36928192DB422C1895E86F884FCFE85CB12A68 |
|
CONTENT
ssdeep
|
24:hrcC9AEuqclWb/f0YX7vPi0AMDlbN5MBSW0F9FT65NNj7HkEa1MLo:thAEXc+z7vPP1YBAT6nNnHda1X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc666666666666 |
|
VISUAL
aHash
|
1818181800000000 |
|
VISUAL
dHash
|
33b2b2b20c100000 |
|
VISUAL
wHash
|
1f1f1b1b000000c0 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
8000805c4c480080,8000a05858300080,96069657570696a6,8208104d4d4c3088,33b2b2b20c100000 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.