Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECC27571A1106B3F0187C3C9B761B72FD6A3C28EDB46141652FC935D4BE7E90DA2352A |
|
CONTENT
ssdeep
|
768:5SCy5NBVplLcGtdB9r7Qx957sOy2+y9BH4crIe:wpl7rcJ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8363f438fd08c7c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49c0d0f0f9f500 |
|
VISUAL
wHash
|
002f7818180effff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c19c0c0f0d0f9f5 |
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.