Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4A36833411875274437C6D530A55B3BD2A68A5FFAA70A010EECD7FB2BFACA0745B11A |
|
CONTENT
ssdeep
|
3072:J3kv5zfJ6SmA6gdeR9d2KQ10GWcTKK5QlIFkJWVIxQ1yyJQb27Z:J305zfJ6LgdeR9d2KQ10GWcTKK5QlIFF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c252dd3a9129b96e |
|
VISUAL
aHash
|
00300000000000ff |
|
VISUAL
dHash
|
c8c4c0c8cd8dc3e4 |
|
VISUAL
wHash
|
0cfe70007c6178ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,88c4e4c8cccd89c0 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.