Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EE2B932B110BE370197D3D973A2E71AB3E38249E6460415A2FD836D0BD3E95DB37626 |
|
CONTENT
ssdeep
|
768:SSky5NBeXTv5CEq7eZk17sOy2+y9BH4crIe:wDB5qx7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c260bc39bd2ec7c2 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
92ccc4c2cadccc00 |
|
VISUAL
wHash
|
0064f470302cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,928cc4c2c2c8dccc |
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.