Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CC20B3FA5C4320A015362A1BBC1B95F993C489DD225D654D9FE81A0339E9DCC1FBBE8 |
|
CONTENT
ssdeep
|
768:ZEQbaWGSwi3cKH7petgimeVFRAHapkkLxz:ZEjSwiL70tPjFRAHapkkLR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96b4696969e4c6c6 |
|
VISUAL
aHash
|
000eff4700002020 |
|
VISUAL
dHash
|
ca5cec9ce9c0e0c0 |
|
VISUAL
wHash
|
200fffef3c20383c |
|
VISUAL
colorHash
|
30000600088 |
|
VISUAL
cropResistant
|
2cec011edc915e80,ca5cec9ce9c0e0c0 |
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.